Computer Application Quotes

Pilots used to fly planes manually, but now they operate a dashboard with the help of computers. This has made flying safer and improved the industry. Healthcare can benefit from the same type of approach, with physicians practicing medicine with the help of data, dashboards, and AI. This will improve the quality of care they provide and make their jobs easier and more efficient

Friedrich Nietzsche, who famously gave us the ‘God is dead’ phrase was interested in the sources of morality. He warned that the emergence of something (whether an organ, a legal institution, or a religious ritual) is never to be confused with its acquired purpose: ‘Anything in existence, having somehow come about, is continually interpreted anew, requisitioned anew, transformed and redirected to a new purpose.’ This is a liberating thought, which teaches us to never hold the history of something against its possible applications. Even if computers started out as calculators, that doesn’t prevent us from playing games on them. (47) (quoting Nietzsche, the Genealogy of Morals)

The contribution of mathematics, and of people, is not computation but intelligence.

Quantum Machine Learning is defined as the branch of science and technology that is concerned with the application of quantum mechanical phenomena such as superposition, entanglement and tunneling for designing software and hardware to provide machines the ability to learn insights and patterns from data and the environment, and the ability to adapt automatically to changing situations with high precision, accuracy and speed. 

Look-Then-Leap Rule: You set a predetermined amount of time for “looking”—that is, exploring your options, gathering data—in which you categorically don’t choose anyone, no matter how impressive. After that point, you enter the “leap” phase, prepared to instantly commit to anyone who outshines the best applicant you saw in the look phase. We

Theory is relevant to you because it shows you a new, simpler, and more elegant side of computers, which we normally consider to be complicated machines. The best computer designs and applications are conceived with elegance in mind. A theoretical course can heighten your aesthetic sense and help you build more beautiful systems.

Broad-Based Education: Reed College at that time offered perhaps the best calligraphy instruction in the country.… I decided to take a calligraphy class to learn how to do this.… It was beautiful, historical, artistically subtle in a way that science can’t capture, and I found it fascinating. None of this had even a hope of any practical application in my life. But ten years later, when we were designing the first Macintosh computer, it all came back to me. —Commencement address, Stanford University, June 12, 2005

The math-powered applications powering the data economy were based on choices made by fallible human beings. Some of these choices were no doubt made with the best intentions. Nevertheless, many of these models encoded human prejudice, misunderstanding, and bias into the software systems that increasingly managed our lives. Like gods, these mathematical models were opaque, their workings invisible to all but the highest priests in their domain: mathematicians and computer scientists. Their verdicts, even when wrong or harmful, were beyond dispute or appeal. And they tended to punish the poor and the oppressed in our society, while making the rich richer.

This cuts the myth at an awkward angle: it is because the [artificial intelligence] systems are idiots, but still find their way into business, consumer, and government application, that human-value questions are now infecting what were once purely scientific values.

Programmers are always surrounded by complexity; we cannot avoid it. Our applications are complex because we are ambitious to use our computers in ever more sophisticated ways. Programming is complex because of the large number of conflicting objectives for each of our programming projects. If our basic tool, the language in which we design and code our programs, is also complicated, the language itself becomes part of the problem rather than part of its solution.

This sort of information gathering is precisely what we call play. And the important function of play is thus revealed: it permits us to gain, without any particular future application in mind, a holistic understanding of the world, which is both a complement of and a preparation for later analytical activities.

treating messages as discrete had application not just for traditional communication but for a new and rather esoteric subfield, the theory of computing machines.

Most of Csongor's time in T'Rain had been spent blundering about in a state of hapless newbie confusion. Only his long experience as a system administrator, struggling with Byzantine software installations, had prevented hum from plummeting into despair and simply giving up. Not that any of the sysadmin's knowledge and skills were applicable here. The psychological stance was the thing: the implicit faith, a little naive and a little cocky, that by banging his head against the problem for long enough he'd be able to break through in the end.

In the history of ideas, it's repeatedly happened that an idea, developed in one area for one purpose, finds an unexpected application elsewhere. Concepts developed purely for philosophy of mathematics turned out to be just what you needed to build a computer. Statistical formulae for understanding genetic change in biology are now applied in both economics and in programming.

As she [Grace Hopper] told a historian is 1968, to make the link between "the computer people" and the outside world of clients, problems, and possible applications, "you needed people with more vocabularies

Computer literacy, however, is really a euphemism for forcing human beings to stretch their thinking to understand the inner workings of application logic, rather than having software-enabled products stretch to meet people’s usual ways of thinking.

As the applicant pool grows, the exact place to draw the line between looking and leaping settles to 37% of the pool, yielding the 37% Rule: look at the first 37% of the applicants,* choosing none, then be ready to leap for anyone better than all those you’ve seen so far.

Two decades later, when I got my PhD in computer science from Carnegie Mellon, I thought that made me infinitely qualified to do anything, so I dashed off my letters of application to Walt Disney Imagineering. And they sent me the nicest go-to-hell letter I'd ever received.

Every computing device today has five basic components: (1) the integrated circuits that do the computing; (2) the memory units that store and retrieve information; (3) the networking systems that enable communications within and across computers; (4) the software applications that enable different computers to perform myriad tasks individually and collectively; and (5) the sensors—cameras and other miniature devices that can detect movement, language, light, heat, moisture, and sound and transform any of them into digitized data that can be mined for insights.

But Unix had a serious shortcoming: No common version existed. Over the years different versions of Unix had proliferated like weeds, so that an application written for one would not run unmodified on another. While DOS presented a single target to consumers, applications writers and computer makers, Unix did not.

You spent enough time working with computers, and the Internet became a second home. A refuge. A place to share ideas, trade snippets of code, and meet people who shared your interest in the extralegal applications of programming. Could such a person live without the Internet? He supposed it was possible. Yes, a voice countered, but was it probable?

If you read about quantum machine-learning applications that solve some conventional machine-learning problem with a fantastic speedup, always be sure to check whether they return a quantum output. Quantum outputs, such as amplitude-encoded vectors, limit the usage of applications, and require additional specification of how to extract practical, useful results.

All through our education we are being taught a kind of reverse mindfulness. A kind of Future Studies where- via the guise of mathematics, or literature, or history, or computer programming, or French- we are being taught to think of a time different to the time we are in. Exam time. Job time. When-we-are-grown-up time. To see the act of learning as something not for its own sake but because of what it will get you reduces the wonder of humanity. We are thinking, feeling, art-making, knowledge-hungry, marvelous animals, who understand ourselves and our world through the act of learning. It is an end in itself. It has far more to offer than the things it lets us write on application forms. It is a way to love living right now.

Finding a zero day is a little like entering God mode in a video game. Once hackers have figured out the commands or written the code to exploit it, they can scamper through the world's computer networks undetected until the day the underlying flaw is discovered. Zero day exploitation is the most direct application of the cliche 'knowledge is power if you know how to use it.

He had learned over time to keep his thoughts to himself, which was most easily accomplished if his brain activity was split into categories. His mind was like a computer with multiple applications open, some of them buzzing with contemplation in the background. Most of the time Aldo did not give others the impression he was listening, a suspicion that was generally correct.

THE RIVE BROTHERS used to be like a technology gang. In the late 1990s, they would jump on skateboards and zip around the streets of Santa Cruz, knocking on the doors of businesses and asking if they needed any help managing their computing systems. The young men, who had all grown up in South Africa with their cousin Elon Musk, soon decided there must be an easier way to hawk their technology smarts than going door-to-door. They wrote some software that allowed them to take control of their clients’ systems from afar and to automate many of the standard tasks that companies required, such as installing updates for applications. The software became the basis of a new company called Everdream, and the brothers promoted their technology in some compelling ways.

I think actually if you take the analogy with other areas of engineering, and increasingly of science and even mathematics, you can see people do not have to learn the vast number of formulae they used to learn. Instead, they have to learn to use the computer effectively. This frees them, I feel, to understand concepts and the foundations while they’re learning the mechanics of the application of the theory.

New York City manages expertly, and with marvelous predictability, whatever it considers humanly important. Fax machines, computers, automated telephones and even messengers on bikes convey a million bits of data through Manhattan every day to guarantee that Wall Street brokers get their orders placed, confirmed, delivered, at the moment they demand. But leaking roofs cannot be fixed and books cannot be gotten into Morris High in time to meet the fall enrollment. Efficiency in educational provision for low-income children, as in health care and most other elementals of existence, is secreted and doled out by our municipalities as if it were a scarce resource. Like kindness, cleanliness and promptness of provision, it is not secured by gravity of need but by the cash, skin color and class status of the applicant.

Pham Nuwen spent years learning to program/explore. Programming went back to the beginning of time. It was a little like the midden out back of his father’s castle. Where the creek had worn that away, ten meters down, there were the crumpled hulks of machines—flying machines, the peasants said—from the great days of Canberra’s original colonial era. But the castle midden was clean and fresh compared to what lay within the Reprise’s local net. There were programs here that had been written five thousand years ago, before Humankind ever left Earth. The wonder of it—the horror of it, Sura said—was that unlike the useless wrecks of Canberra’s past, these programs still worked! And via a million million circuitous threads of inheritance, many of the oldest programs still ran in the bowels of the Qeng Ho system. Take the Traders’ method of timekeeping. The frame corrections were incredibly complex—and down at the very bottom of it was a little program that ran a counter. Second by second, the Qeng Ho counted from the instant that a human had first set foot on Old Earth’s moon. But if you looked at it still more closely. . .the starting instant was actually some hundred million seconds later, the 0-second of one of Humankind’s first computer operating systems. So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge. “We should rewrite it all,” said Pham. “It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation. “It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.” Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more signicant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.” “Almost precisely.

When the couple asked if there was a way to apply without identifying a race, they were told that their only option was to select “Other.” “I didn’t want to pick ‘Other,’ ” Ramkishun would recall. “I’ve been having to pick ‘Other’ all my life. None of it defines who I am.”2 Because she and her fiancé refused to click on a race category, the computer system couldn’t process their license application. They could not get married without specifying their race.

In a classic study of how names impact people’s experience on the job market, researchers show that, all other things being equal, job seekers with White-sounding first names received 50 percent more callbacks from employers than job seekers with Black-sounding names.5 They calculated that the racial gap was equivalent to eight years of relevant work experience, which White applicants did not actually have; and the gap persisted across occupations, industry, employer size – even when employers included the “equal opportunity” clause in their ads.6 With emerging technologies we might assume that racial bias will be more scientifically rooted out. Yet, rather than challenging or overcoming the cycles of inequity, technical fixes too often reinforce and even deepen the status quo. For example, a study by a team of computer scientists at Princeton examined whether a popular algorithm, trained on human writing online, would exhibit the same biased tendencies that psychologists have documented among humans. They found that the algorithm associated White-sounding names with “pleasant” words and Black-sounding names with “unpleasant” ones.7 Such findings demonstrate what I call “the New Jim Code”: the employment of new technologies that reflect and reproduce existing inequities but that are promoted and perceived as more objective or progressive than the discriminatory systems of a previous era.

the hub, it would allow the portable devices to become simpler. A lot of the functions that the devices tried to do, such as editing the video or pictures, they did poorly because they had small screens and could not easily accommodate menus filled with lots of functions. Computers could handle that more easily. And one more thing . . . What Jobs also saw was that this worked best when everything—the device, computer, software, applications, FireWire—was all tightly integrated. “I became even more of a believer in providing end-to-end

The history of epidemics in human populations has always been closely connected to cities. From the Great Plague of Athens (430 BC) to the COVID-19 pandemic, cities have played a unique role in the lives of epidemics that affect human populations. The increased population density provides the pathogen with a vastly increased likelihood that during a given infectious period, an infected individual will make contact with a susceptible individual. Overcrowding and urban poverty also directly affect other epidemic processes, e.g. attracting vectors who thrive on the byproducts of urban human existence.

We have plenty of information to contrast the post-1960 advances in computing capacities and speeds with the gains in all other key sectors of modern economies, and the verdict is clear. Rapid exponential growth has been an admirable reality in the advances of solid-state electronics and its applications in devices and designs ranging from personal computers and mobile phones to communication and Earth-observation satellites and data and image processing, but there has been no evidence of any ever-faster innovations in nearly all other sectors of modern economies, from food production to long-distance transportation.

We’ve seen several of these oscillations just in the last decade or so since the web became prominent. At first we thought all the computer power would be in server farms, and the browsers would be stupid. Then we started putting applets in the browsers. But we didn’t like that, so we moved dynamic content back to the servers. But then we didn’t like that, so we invented Web 2.0 and moved lots of processing back into the browser with Ajax and JavaScript. We went so far as to create whole huge applications written to execute in the browsers. And now we’re all excited about pulling that JavaScript back into the server with Node.

Take for example job applications. In the 21st century the decision wherever to hire somebody for a job while increasingly be made by algorithms. We cannot rely on the machines to set the relevant ethical standards, humans will still need to do that, but once we decide on an ethical standard in the job market, that it is wrong to discriminate against blacks or against women for example, we can rely on machines to implement and maintain these standards better than humans. A human manager may know and even agree that is unethical to discriminate against blacks and women but then when a black woman applies for a job the manager subconsciously discriminate against her and decides not to hire her. If we allow a computer to evaluate job applications and program computers to completely ignore race and gender we can be certain that the computer will indeed ignore these factors because computers do not have a subconscious. Of course it won't be easy to write code for evaluating job applications and there is always the danger that the engineers will somehow program their own subconscious biases into the software, yet once we discover such mistakes it would probably be far easier to debug the software than to get rid humans of their racist and misogynist biases.

Security is a big and serious deal, but it’s also largely a solved problem. That’s why the average person is quite willing to do their banking online and why nobody is afraid of entering their credit card number on Amazon. At 37signals, we’ve devised a simple security checklist all employees must follow: 1. All computers must use hard drive encryption, like the built-in FileVault feature in Apple’s OS X operating system. This ensures that a lost laptop is merely an inconvenience and an insurance claim, not a company-wide emergency and a scramble to change passwords and worry about what documents might be leaked. 2. Disable automatic login, require a password when waking from sleep, and set the computer to automatically lock after ten inactive minutes. 3. Turn on encryption for all sites you visit, especially critical services like Gmail. These days all sites use something called HTTPS or SSL. Look for the little lock icon in front of the Internet address. (We forced all 37signals products onto SSL a few years back to help with this.) 4. Make sure all smartphones and tablets use lock codes and can be wiped remotely. On the iPhone, you can do this through the “Find iPhone” application. This rule is easily forgotten as we tend to think of these tools as something for the home, but inevitably you’ll check your work email or log into Basecamp using your tablet. A smartphone or tablet needs to be treated with as much respect as your laptop. 5. Use a unique, generated, long-form password for each site you visit, kept by password-managing software, such as 1Password.§ We’re sorry to say, “secretmonkey” is not going to fool anyone. And even if you manage to remember UM6vDjwidQE9C28Z, it’s no good if it’s used on every site and one of them is hacked. (It happens all the time!) 6. Turn on two-factor authentication when using Gmail, so you can’t log in without having access to your cell phone for a login code (this means that someone who gets hold of your login and password also needs to get hold of your phone to login). And keep in mind: if your email security fails, all other online services will fail too, since an intruder can use the “password reset” from any other site to have a new password sent to the email account they now have access to. Creating security protocols and algorithms is the computer equivalent of rocket science, but taking advantage of them isn’t. Take the time to learn the basics and they’ll cease being scary voodoo that you can’t trust. These days, security for your devices is just simple good sense, like putting on your seat belt.

A fungal computer may sound fantastical, but biocomputing is a fast-growing field. Adamatzky has spent years developing ways to use slime molds as sensors and computers. These prototype biocomputers use slime molds to solve a range of geometrical problems. The slime mold networks can be modified—for instance, by cutting a connection—to alter the set of “logical functions” implemented by the network. Adamatzky’s idea of a “fungal computer” is just an application of slime-mold computing to another type of network-based organism. As Adamatzky observes, the mycelial networks of some species of fungus are more convenient for computing than slime molds.

A friend of ours encountered this problem with his home-built computer long ago. He wrote a BIOS that used a magic value in a particular memory location to determine whether a reset was a cold reboot or a warm reboot. After a while the machine refused to boot after power-up because the memory had learned the magic value, and the boot process therefore treated every reset as a warm reboot. As this did not initialize the proper variables, the boot process failed. The solution in his case was to swap some memory chips around, scrambling the magic value that the SRAM had learned. For us, it was a lesson to remember: memory retains more data than you think.

Astounding, really, that Michel could consider psychology any kind of science at all. So much of it consisted of throwing together. Of thinking of the mind as a steam engine, the mechanical analogy most ready to hand during the birth of modern psychology. People had always done that when they thought about the mind: clockwork for Descartes, geological changes for the early Victorians, computers or holography for the twentieth century, AIs for the twenty-first…and for the Freudian traditionalists, steam engines. Application of heat, pressure buildup, pressure displacement, venting, all shifted into repression, sublimation, the return of the repressed. Sax thought it unlikely steam engines were an adequate model for the human mind. The mind was more like—what?—an ecology—a fellfield—or else a jungle, populated by all manner of strange beasts. Or a universe, filled with stars and quasars and black holes. Well—a bit grandiose, that—really it was more like a complex collection of synapses and axons, chemical energies surging hither and yon, like weather in an atmosphere. That was better—weather—storm fronts of thought, high-pressure zones, low-pressure cells, hurricanes—the jet streams of biological desires, always making their swift powerful rounds…life in the wind. Well. Throwing together. In fact the mind was poorly understood.

All through our education we are being taught a kind of reverse mindfulness. A kind of Future Studies where—via the guise of mathematics, or literature, or history, or computer programming, or French—we are being taught to think of a time different to the time we are in. Exam time. Job time. When-we-are-grown-up time. To see the act of learning as something not for its own sake but because of what it will get you reduces the wonder of humanity. We are thinking, feeling, art-making, knowledge-hungry, marvelous animals, who understand ourselves and our world through the act of learning. It is an end in itself. It has far more to offer than the things it lets us write on application forms. It is a way to love living right now.

By tracing the early history of USCYBERCOM it is possible to understand some of the reasons why the military has focused almost completely on network defense and cyber attack while being unaware of the need to address the vulnerabilities in systems that could be exploited in future conflicts against technologically capable adversaries. It is a problem mirrored in most organizations. The network security staff are separate from the endpoint security staff who manage desktops through patch and vulnerability management tools and ensure that software and anti-virus signatures are up to date. Meanwhile, the development teams that create new applications, web services, and digital business ventures, work completely on their own with little concern for security. The analogous behavior observed in the military is the creation of new weapons systems, ISR platforms, precision targeting, and C2 capabilities without ensuring that they are resistant to the types of attacks that USCYBERCOM and the NSA have been researching and deploying. USCYBERCOM had its genesis in NCW thinking. First the military worked to participate in the information revolution by joining their networks together. Then it recognized the need for protecting those networks, now deemed cyberspace. The concept that a strong defense requires a strong offense, carried over from missile defense and Cold War strategies, led to a focus on network attack and less emphasis on improving resiliency of computing platforms and weapons systems.

Bodean James Gazzer had spent thirty-one years perfecting the art of assigning blame. His personal credo - everything bad that happens is someone else's fault - could, with imagination, be stretched to fit any circumstance. Bode stretched it. The intestinal unrest that occasionally afflicted him surely was the result of drinking milk taken from secretly radiated cows. The roaches in his apartment were planted by his filthy immigrant next-door neighbors. His dire financial plight was caused by runaway bank computers and conniving Wall Street Zionists; his bad luck in the South Florida job market, prejudice against English-speaking applicants. Even the lousy weather had a culprit: air pollution from Canada, diluting the ozone and derailing the jet stream

RENEWABLE ENERGY REVOLUTION: SOLAR + WIND + BATTERIES In addition to AI, we are on the cusp of another important technological revolution—renewable energy. Together, solar photovoltaic, wind power, and lithium-ion battery storage technologies will create the capability of replacing most if not all of our energy infrastructure with renewable clean energy. By 2041, much of the developed world and some developing countries will be primarily powered by solar and wind. The cost of solar energy dropped 82 percent from 2010 to 2020, while the cost of wind energy dropped 46 percent. Solar and onshore wind are now the cheapest sources of electricity. In addition, lithium-ion battery storage cost has dropped 87 percent from 2010 to 2020. It will drop further thanks to the massive production of batteries for electrical vehicles. This rapid drop in the price of battery storage will make it possible to store the solar/wind energy from sunny and windy days for future use. Think tank RethinkX estimates that with a $2 trillion investment through 2030, the cost of energy in the United States will drop to 3 cents per kilowatt-hour, less than one-quarter of today’s cost. By 2041, it should be even lower, as the prices of these three components continue to descend. What happens on days when a given area’s battery energy storage is full—will any generated energy left unused be wasted? RethinkX predicts that these circumstances will create a new class of energy called “super power” at essentially zero cost, usually during the sunniest or most windy days. With intelligent scheduling, this “super power” can be used for non-time-sensitive applications such as charging batteries of idle cars, water desalination and treatment, waste recycling, metal refining, carbon removal, blockchain consensus algorithms, AI drug discovery, and manufacturing activities whose costs are energy-driven. Such a system would not only dramatically decrease energy cost, but also power new applications and inventions that were previously too expensive to pursue. As the cost of energy plummets, the cost of water, materials, manufacturing, computation, and anything that has a major energy component will drop, too. The solar + wind + batteries approach to new energy will also be 100-percent clean energy. Switching to this form of energy can eliminate more than 50 percent of all greenhouse gas emissions, which is by far the largest culprit of climate change.

To which I might add that questions about the psychic, political and social effects of information are as applicable to the computer as to television. Although I believe the computer to be a vastly overrated technology, I mention it here because, clearly, Americans have accorded it their customary mindless inattention; which means they will use it as they are told, without a whimper. Thus, a central thesis of computer technology—that the principal difficulty we have in solving problems stems from insufficient data—will go unexamined. Until, years from now, when it will be noticed that the massive collection and speed-of-light retrieval of data have been of great value to large-scale organizations but have solved very little of importance to most people and have created at least as many problems for them as they may have solved.

[Help® Guide] (1-888-824-4566) How to Fix Norton Slowing Down Your Computer In today’s digital world, having robust cybersecurity is essential, and many users rely on Norton Antivirus and Norton 360 to protect their devices. However, one of the common complaints that Norton users face is a noticeable slowdown in their computer's performance. While Norton’s powerful features work to defend against cyber threats, sometimes it may unintentionally cause your computer to lag or become slower over time. This article provides a comprehensive guide on how to fix Norton slowing down your computer, offering practical steps to troubleshoot the issue. Whether you're experiencing performance dips during web browsing or while running specific applications, the following steps will help you get back to optimal performance. Additionally, if you need further assistance, you can always reach out to Norton Customer Service at 1-888-824-4566 for support.

Yet skill in the most sophisticated applications of laboratory technology and in the use of the latest therapeutic modality alone does not make a good physician. When a patient poses challenging clinical problems, an effective physician must be able to identify the crucial elements in a complex history and physical examination; order the appropriate laboratory, imaging, and diagnostic tests; and extract the key results from densely populated computer screens to determine whether to treat or to “watch.” As the number of tests increases, so does the likelihood that some incidental finding, completely unrelated to the clinical problem at hand, will be uncovered. Deciding whether a clinical clue is worth pursuing or should be dismissed as a “red herring” and weighing whether a proposed test, preventive measure, or treatment entails a greater risk than the disease itself are essential judgments that a skilled clinician must make many times each day. This combination of medical knowledge, intuition, experience, and judgment defines the art of medicine, which is as necessary to the practice of medicine as is a sound scientific base.

It was little things at first. Abby missed a phone call because she had an away game. Then one time Gretchen didn’t write back and never made up for the missing letter. They got busy with SATs and college applications, and even though they both applied to Georgetown, Gretchen didn’t get in, and Abby wound up going to George Washington anyways. At college they went to their computer labs and sent each other emails, sitting in front of black and green CRT screens and pecking them out one letter at a time. And they still wrote, but calling became a once-a-week thing. Gretchen was Abby’s maid of honor at her tiny courthouse wedding, but sometimes a month would go by and they wouldn’t speak. Then two months. Then three. They went through periods when they both made an effort to write more, but after a while that usually faded. It wasn’t anything serious, it was just life. The dance recitals, making the rent, first real jobs, pickups, dropoffs, the fights that seemed so important, the laundry, the promotions, the vacations taken, shoes bought, movies watched, lunches packed. It was a haze of the everyday that blurred the big things and made them feel distant and small.

In the early thirties IBM built a high-speed calculating machine to do calculations for the astronomers at New York’s Columbia University. A few years later it built a machine that was already designed as a computer—again, to do astronomical calculations, this time at Harvard. And by the end of World War II, IBM had built a real computer—the first one, by the way, that had the features of the true computer: a “memory” and the capacity to be “programmed.” And yet there are good reasons why the history books pay scant attention to IBM as a computer innovator. For as soon as it had finished its advanced 1945 computer—the first computer to be shown to a lay public in its showroom in midtown New York, where it drew immense crowds—IBM abandoned its own design and switched to the design of its rival, the ENIAC developed at the University of Pennsylvania. The ENIAC was far better suited to business applications such as payroll, only its designers did not see this. IBM structured the ENIAC so that it could be manufactured and serviced and could do mundane “numbers crunching.” When IBM’s version of the ENIAC came out in 1953, it at once set the standard for commercial, multipurpose, mainframe computers. This is the strategy of “creative imitation.

Imagine an alternate universe in which people don’t have words for different forms of transportation—only the collective noun “vehicle.” They use that word to refer to cars, buses, bikes, spacecraft, and all other ways of getting from place A to place B. Conversations in this world are confusing. There are furious debates about whether or not vehicles are environmentally friendly, even though no one realizes that one side of the debate is talking about bikes and the other side is talking about trucks. There is a breakthrough in rocketry, but the media focuses on how vehicles have gotten faster—so people call their car dealer (oops, vehicle dealer) to ask when faster models will be available. Meanwhile, fraudsters have capitalized on the fact that consumers don’t know what to believe when it comes to vehicle technology, so scams are rampant in the vehicle sector. Now replace the word “vehicle” with “artificial intelligence,” and we have a pretty good description of the world we live in. Artificial intelligence, AI for short, is an umbrella term for a set of loosely related technologies. ChatGPT has little in common with, say, software that banks use to evaluate loan applicants. Both are referred to as AI, but in all the ways that matter—how they work, what they’re used for and by whom, and how they fail—they couldn’t be more different.

Bush’s description of how basic research provides the seed corn for practical inventions became known as the “linear model of innovation.” Although subsequent waves of science historians sought to debunk the linear model for ignoring the complex interplay between theoretical research and practical applications, it had a popular appeal as well as an underlying truth. The war, Bush wrote, had made it “clear beyond all doubt” that basic science—discovering the fundamentals of nuclear physics, lasers, computer science, radar—“is absolutely essential to national security.” It was also, he added, crucial for America’s economic security. “New products and new processes do not appear full-grown. They are founded on new principles and new conceptions, which in turn are painstakingly developed by research in the purest realms of science. A nation which depends upon others for its new basic scientific knowledge will be slow in its industrial progress and weak in its competitive position in world trade.” By the end of his report, Bush had reached poetic heights in extolling the practical payoffs of basic scientific research: “Advances in science when put to practical use mean more jobs, higher wages, shorter hours, more abundant crops, more leisure for recreation, for study, for learning how to live without the deadening drudgery which has been the burden of the common man for past ages.”9 Based on this report, Congress established the National Science Foundation.

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Lucid Motors was started under the name Atieva (which stood for “advanced technologies in electric vehicle applications” and was pronounced “ah-tee-va”) in Mountain View in 2008 (or December 31, 2007, to be precise) by Bernard Tse, who was a vice president at Tesla before it launched the Roadster. Hong Kong–born Tse had studied engineering at the University of Illinois, where he met his wife, Grace. In the early 1980s, the couple had started a computer manufacturing company called Wyse, which at its peak in the early 1990s registered sales of more than $480 million a year. Tse joined Tesla’s board of directors in 2003 at the request of his close friend Martin Eberhard, the company’s original CEO, who sought Tse’s expertise in engineering, manufacturing, and supply chain. Tse would eventually step off the board to lead a division called the Tesla Energy Group. The group planned to make electric power trains for other manufacturers, who needed them for their electric car programs. Tse, who didn’t respond to my requests to be interviewed, left Tesla around the time of Eberhard’s departure and decided to start Atieva, his own electric car company. Atieva’s plan was to start by focusing on the power train, with the aim of eventually producing a car. The company pitched itself to investors as a power train supplier and won deals to power some city buses in China, through which it could further develop and improve its technology. Within a few years, the company had raised about $40 million, much of it from the Silicon Valley–based venture capital firm Venrock, and employed thirty people, mostly power train engineers, in the United States, as well as the same number of factory workers in Asia. By 2014, it was ready to start work on a sedan, which it planned to sell in the United States and China. That year, it raised about $200 million from Chinese investors, according to sources close to the company.

Although thrilled that the era of the personal computer had arrived, he was afraid that he was going to miss the party. Slapping down seventy-five cents, he grabbed the issue and trotted through the slushy snow to the Harvard dorm room of Bill Gates, his high school buddy and fellow computer fanatic from Seattle, who had convinced him to drop out of college and move to Cambridge. “Hey, this thing is happening without us,” Allen declared. Gates began to rock back and forth, as he often did during moments of intensity. When he finished the article, he realized that Allen was right. For the next eight weeks, the two of them embarked on a frenzy of code writing that would change the nature of the computer business.1 Unlike the computer pioneers before him, Gates, who was born in 1955, had not grown up caring much about the hardware. He had never gotten his thrills by building Heathkit radios or soldering circuit boards. A high school physics teacher, annoyed by the arrogance Gates sometimes displayed while jockeying at the school’s timesharing terminal, had once assigned him the project of assembling a Radio Shack electronics kit. When Gates finally turned it in, the teacher recalled, “solder was dripping all over the back” and it didn’t work.2 For Gates, the magic of computers was not in their hardware circuits but in their software code. “We’re not hardware gurus, Paul,” he repeatedly pronounced whenever Allen proposed building a machine. “What we know is software.” Even his slightly older friend Allen, who had built shortwave radios, knew that the future belonged to the coders. “Hardware,” he admitted, “was not our area of expertise.”3 What Gates and Allen set out to do on that December day in 1974 when they first saw the Popular Electronics cover was to create the software for personal computers. More than that, they wanted to shift the balance in the emerging industry so that the hardware would become an interchangeable commodity, while those who created the operating system and application software would capture most of the profits.

Key Points: ● Transparency - Blockchain offers significant improvements in transparency compared to existing record keeping and ledgers for many industries. ● Removal of Intermediaries – Blockchain-based systems allow for the removal of intermediaries involved in the record keeping and transfer of assets. ● Decentralization – Blockchain-based systems can run on a decentralized network of computers, reducing the risk of hacking, server downtime and loss of data. ● Trust – Blockchain-based systems increase trust between parties involved in a transaction through improved transparency and decentralized networks along with removal of third-party intermediaries in countries where trust in the intermediaries doesn’t exist. ● Security – Data entered on the blockchain is immutable, preventing against fraud through manipulating transactions and the history of data. Transactions entered on the blockchain provide a clear trail to the very start of the blockchain allowing any transaction to be easily investigated and audited. ● Wide range of uses - Almost anything of value can be recorded on the blockchain and there are many companies and industries already developing blockchain-based systems. These examples are covered later in the book. ● Easily accessible technology – Along with the wide range of uses, blockchain technology makes it easy to create applications without significant investment in infrastructure with recent innovations like the Ethereum platform. Decentralized apps, smart contracts and the Ethereum platform are covered later in the book. ● Reduced costs – Blockchain-based ledgers allow for removal of intermediaries and layers of confirmation involved in transactions. Transactions that may take multiple individual ledgers, could be settled on one shared ledger, reducing the costs of validating, confirming and auditing each transaction across multiple organizations. ● Increased transaction speed – The removal of intermediaries and settlement on distributed ledgers, allows for dramatically increased transaction speeds compared to a wide range of existing systems.

The first application was named Mind Master, which was followed by the NeuroLink and a commercial computer game called MindDrive. Today, these applications are available through Somatic Vision.

By having no affiliation with “coin” in its name, Ethereum was moving beyond the idea of currency into the realm of cryptocommodities. While Bitcoin is mostly used to send monetary value between people, Ethereum could be used to send information between programs. It would do so by building a decentralized world computer with a Turing complete programming language.11 Developers could write programs, or applications, that would run on top of this decentralized world computer. Just as Apple builds the hardware and operating system that allows developers to build applications on top, Ethereum was promising to do the same in a distributed and global system. Ether, the native unit, would come into play as follows: Ether is a necessary element—a fuel—for operating the distributed application platform Ethereum. It is a form of payment made by the clients of the platform to the machines executing the requested operations. To put it another way, ether is the incentive ensuring that developers write quality applications (wasteful code costs more), and that the network remains healthy (people are compensated for their contributed resources).

Buterin and those involved with The DAO and Ethereum immediately began to address the hack. The situation was problematic, however, because Ethereum was a decentralized world computer that provided the platform for dApps to run on. However, it did not promise to audit and endorse each application.

In some ways, cryptocommodities are more tangible in value than cryptocurrencies. For example, the largest cryptocommodity, Ethereum, is a decentralized world computer upon which globally accessible and uncensored applications can be built.

Bitcoin is not a smart network. Bitcoin is a dumb network. It really is a dumb network. It is a dumb transaction-processing network. It’s a dumb network for verifying a very simple scripting language. It doesn’t offer a complete range of financial services and products. It doesn’t have automation and incredible features built in. Bitcoin is simply a dumb network, and that is one of its strongest and most important features. When you design networks, when you architect network systems, one of the most fundamental choices is this: do you make a dumb network that supports smart devices, or do you make a smart network that supports dumb devices? 5.1.1. The Smart Network - Phones The phone network was a very smart network. The telephone at the end of that network was a very dumb device. If you had a pulse-dialing phone, that thing had maybe four electronic components inside it. It was basically a switch on a wire with a speaker attached to it. You could dial by flicking the hook up and down fast enough. 
The phone was a dumb device; it had no intelligence whatsoever. Everything the phone network did was in the network. Caller ID was a network feature. Call waiting was a network feature. And if you wanted to make the experience better, you had to upgrade the network but you didn’t need to upgrade the device. That was a critical design decision because, at that time, the belief was that smart networks were better because you could deliver these incredible services just by upgrading the network for everyone. There is one small disadvantage with smart networks. They have to be upgraded from the center out. And that means innovation occurs at the center, by one player, and requires permission. As a result of smart network design, innovation only happens when a feature is needed by all of the subscribers of the network, when it is compelling enough to disrupt the function of the entire network to upgrade it. 5.1.2. The Dumb Network - Internet The internet is a dumb network. It’s dumb as rocks. All it can do is move data from point A to point B. It doesn’t know what that data is. It can’t tell the difference between a Skype call and a web page. It doesn’t know if the device on the end is a desktop computer or a mobile phone, a vacuum cleaner, a refrigerator, or a car. It doesn’t know if that device is powerful or not. If it can do multimedia or not. It doesn’t know, it doesn’t care. In order to run a new application or innovate on a dumb network, all you have to do is add innovation at the edge. Because a dumb network can support smart devices, you don’t need to change anything in the network. If you push intelligence to the edge of the network, an application that only has five users can be implemented so long as those five users upgrade their devices to implement that application. The dumb network will transport their data because it doesn’t know the difference and it doesn’t care. 5.1.3. Bitcoin’s Dumb Network Bitcoin is a dumb network supporting really smart devices, and that is an incredibly powerful concept because bitcoin pushes all of the intelligence to the edge. It doesn’t care if the bitcoin address is the address of a multimillionaire, the address of a central bank, the address of a smart contract, the address of a device, or the address of a human. It doesn’t know. It doesn’t care if the transaction is carrying lots of money or not much money at all. It doesn’t care if the address is in Kuala Lumpur or downtown New York. It doesn’t know, it doesn’t care. It moves money from one address to another based on a simple locking script. And that means that if you want to build a new application on top of bitcoin, you can upgrade the

certain flexibility in the 37% Rule: it can be applied to either the number of applicants or the time over which one is searching.

In the end, all vendor products and application architectures are constrained by the same fundamental principles of distributed computing and underlying physics: applications, and the products they use, run as processes on computers of limited capacity, communicating with one another via protocol stacks and links of nonzero latency. Therefore people need to appreciate that application architecture is the primary determinant of application performance and scalability.

A 63% failure rate, when following the best possible strategy, is a sobering fact. Even when we act optimally in the secretary problem, we will still fail most of the time—that is, we won’t end up with the single best applicant in the pool.

When we play video games, through experience, we learn the rules of the game and make progress to the advanced stages. We do not infer from this experience that the game was not developed by someone. We know that someone will have made the rules. If we come across a computer software or application, then after observation and careful thinking, we can decipher how it was made. By having grasp of computer programming, we can identify the recipe – the code and algorithm – which is behind that computer application. However, it does not mean that discovering the programming code and algorithm of an existing computer program proves its self-existence without any developer.

Mathematics teaches us that the solution of the Malthus equation dx/dt = x is uniquely defined by the initial conditions (that is that the corresponding integral curves in the (t,x)-plane do not intersect each other). This conclusion of the mathematical model bears little relevance to the reality. A computer experiment shows that all these integral curves have common points on the negative t-semi-axis. Indeed, say, curves with the initial conditions x(0) = 0 and x(0) = 1 practically intersect at t = -10 and at t = -100 you cannot fit in an atom between them. Properties of the space at such small distances are not described at all by Euclidean geometry. Application of the uniqueness theorem in this situation obviously exceeds the accuracy of the model. This has to be respected in practical application of the model, otherwise one might find oneself faced with serious troubles.

We expect the cybereconomy to evolve through several stages. 1. The most primitive manifestations of the Information Age involve the Net simply as an information medium to facilitate what are otherwise ordinary industrial-era transactions. At this point, the Net is no more than an exotic delivery system for catalogues. Virtual Vineyards, for example, one of the first cybermerchants, simply sells wine from a page on the World Wide Web. Such transactions are not yet directly subversive of the old institutions. They employ industrial currency, and take place within identifiable jurisdictions. These uses of the Internet have little such megapolitical impact. 2. An intermediate stage of Internet commerce will employ information technology in ways that would have been impossible in the industrial era, such as in long-distance accounting or medical diagnosis. More examples of these new applications of advanced computational power are spelled out below. The second stage of Net commerce will still function within the old institutional framework, employing national currencies and submitting to the jurisdiction of nation-states. The merchants who employ the Net for sales will not yet employ it to bank their profits, only to earn revenues. These profits made on Internet transactions will still be subject to taxation. 3. A more advanced stage will mark the transition to true cybercommerce. Not only will transactions occur over the Net, but they will migrate outside the jurisdiction of nation-states. Payment will be rendered in cybercurrency. Profits will be booked in cyberbanks. Investments will be made in cyberbrokerages. Many transactions will not be subject to taxation. At this stage, cybercommerce will begin to have significant megapolitical consequences of the kind we have already outlined. The powers of governments over traditional areas of the economy will be transformed by the new logic of the Net. Extraterritorial regulatory power will collapse. Jurisdictions will devolve. The structure of firms will change, and so will the nature of work and employment.

I joined Amazon in 2004 in the early days of Amazon Web Services (AWS). Once I joined, my boss explained the mission. Amazon was going to build enormous data centers and rent compute-power and storage capacity not as applications, but as building blocks that developers and other companies can use to build their apps. This would enable any developer and every company to leverage Amazon’s mastery of web-scale infrastructure. The service would be flexible, able to scale up and down on the fly. If your traffic surged for a few days, the “Elastic Compute Cloud” would simply throw extra computer horsepower at your website. When the surge ended, your virtual data center would shrink back down. You paid only for what you used. You paid a monthly bill, just like you do for your mobile phone and your electricity. The pay-for-what-you-use model was a huge breakthrough—maybe as significant as the technology itself.

When it comes to voter fraud, here are the facts: It’s exceedingly rare. It happens between 0.0003 percent and 0.0025 percent of the time. Out of one billion votes cast from 2000 to 2014, research revealed a paltry thirty-one instances of voters casting fraudulent votes in person. It almost never happens. Most problems with improper voting stem from clerical and computer errors. According to scholars affiliated with Stanford University, the University of Pennsylvania, Harvard University, and Yale University, during the 2012 election cycle, the possibility that a registered voter would commit fraud by voting twice was under 0.02 percent.12 Fraud is more likely to be committed by campaigns engaging in fraudulent voter registrations or fraudulent absentee ballot applications or submissions.13

The search for useful QPU applications is an ongoing one, the focus of intense research by thousands of specialists around the globe.

In the world of cloud, scale is the game changer.

which a drawing imported into a text document can no longer be altered, but must be changed in the original graphics program and reintroduced into the text document.) Out of the box the Star was multilingual, offering typefaces and keyboard configurations that could be implemented in the blink of an eye for writing in Russian, French, Spanish, and Swedish through the use of “virtual keyboards”—graphic representations of keyboards that appeared on screen to show the user where to find the unique characters in whatever language he or she was using. In 1982 an internal library of 6,000 Japanese kanji characters was added; eventually Star users were able to draft documents in almost every modern language, from Arabic and Bengali to Amharic and Cambodian. As the term implied, the user’s view of the screen resembled the surface of a desk. Thumbnail-sized icons representing documents were lined up on one side of the screen and those representing peripheral devices—printers, file servers, e-mail boxes—on the other. The display image could be infinitely personalized to be tidy or cluttered, obsessively organized or hopelessly confused, alphabetized or random, as dictated by the user’s personality and taste. The icons themselves had been painstakingly drafted and redrafted so they would be instantaneously recognized by the user as document pages (with a distinctive dog-eared upper right corner), file folders, in and out baskets, a clock, and a wastebasket. Thanks to the system’s object-oriented software, the Star’s user could launch any application simply by clicking on the pertinent icon; the machine automatically “knew” that a text document required it to launch a text editor or a drawing to launch a graphics program. No system has ever equaled the consistency of the Star’s set of generic commands, in which “move,” “copy,” and “delete” performed similar operations across the entire spectrum of software applications. The Star was the epitome of PARC’s user-friendly machine. No secretary had to learn about programming or code to use the machine, any more than she had to understand the servomechanism driving the dancing golf ball to type on an IBM Selectric typewriter. Changing a font, or a margin, or the space between typed lines in most cases required a keystroke or two or a couple of intuitive mouse clicks. The user understood what was happening entirely from watching the icons or documents move or change on the screen. This was no accident: “When everything in a computer system is visible on the screen,” wrote David Smith, a designer of the Star interface, “the display becomes reality. Objects and actions can be understood purely in terms of their effects on the display.

More where do you see yourself in a few years’ time? More what career path would you like to pursue? More think very carefully about your future. More it will all pay off in the long run. All through our education we are being taught a kind of reverse mindfulness. A kind of Future Studies where—via the guise of mathematics, or literature, or history, or computer programming, or French—we are being taught to think of a time different to the time we are in. Exam time. Job time. When-we-are-grown-up time. To see the act of learning as something not for its own sake but because of what it will get you reduces the wonder of humanity. We are thinking, feeling, art-making, knowledge-hungry, marvelous animals, who understand ourselves and our world through the act of learning. It is an end in itself. It has far more to offer than the things it lets us write on application forms. It is a way to love living right now. I am coming to realize how wrong many of my aspirations have been. How locked out of the present I have found myself. How I have always wanted more of whatever was in front of me. I need to find a way to stay still, in the present, and, as my nan used to say, be happy with what you have.

Programs, like any other human-made objects, are designed—or should be designed—with a definite lifespan and scope of application in mind. Like the “Deacon’s Masterpiece,” which was “built in such a logical way it ran a hundred years to the day,” a program should have neither over-designed or under-designed parts. Yet it is an occupational disease of programmers to spend more time on those program parts that present, for some reason, the most intellectual challenge rather than on those that require the most work.

register. I wondered why humankind seemed so dead set on destroying all of its accomplishments. We draw on cave walls, spend thousands of years developing complex language systems, the printing press, computers, and what do we do with it? Create a cash register with the picture of a burger on it, just in case the cashier didn’t finish the second grade. One step forward, two steps back—like an evolutionary cha-cha. Working here just proved that the only things separating me from a monkey was pants. And no prehensile tail, which I wish I had. Oh, the applications.

As a Principal IT Consultant specializing in back-end enterprise tasks using Java technologies, Dr. Emma Quindazzi leverages her applied application focused doctorate, DSc. in Computer Science, emphasizing Enterprise Information Systems. Beyond her professional roles, she volunteers at the AI Wildlife Research Lab, recognized for her teaching excellence and software engineering prowess. In her leisure, Emma indulges in studying animal behavior, family bonding, sailing, flying, and immersing herself in music and literature.

MILF Token: What Is It and What Are the Prospects? Why MILF symbols? Whoever had actually the intense suggestion of producing a MILF token has actually located a cutting-edge means of touching into 2 distinctive yet similarly eye-catching streams. On the one hand, here's a fresh cryptocurrency including distinctively collectible characters, with evidence of possession saved in a blockchain. On the various other hand, when it concerns those characters, it likewise ventures a fixation among several songs in the very early 21st-century: fully grown, sexually knowledgeable ladies looking for daring times with their suitors. Any kind of speculator wanting to explore the idea behind these extravagant as well as attractive characters can conveniently acquaint themselves with a few of the very best sites concentrating on dating MILFs. These systems provide an algorithm-based solution, where brand-new consumers can surely join, as well as the details offered throughout this enrollment procedure - inspirations, kind of MILF they are brought in to, and so on. - can surely be as compared to the information they currently carry submit. This way, the liaison can surely be easily organized without the individual enquiring also needing to make up a candid message. The computer system software application will certainly give a shortlist of ideal dating prospects. Comparable character-driven symbols MILF symbols are top on from formerly prominent characters that have actually gripped the focus of crypto investors, such as CryptoPunks. These were a collection of 10,000 characters, each distinct, that exposed evidence of possession on the Ethereum blockchain. MILF symbols operate similarly. Due to the fact that no 2 characters are alike, each token can surely ended up being the authorities residential building of a solitary proprietor on this blockchain. Those 10,000 CryptoPunk symbols were quickly purchased, immediately providing the specific characters boosted worth. The presumption is that the MILF symbols will certainly go similarly, so any individual wanting to obtain their practical a certain MILF personality will certainly need to buy this through the market-place that's likewise installed in the Ethereum blockchain. Presently, the most affordable offered rate for MILF symbols is $0.00004078, standing for a 0.61% increase over the previous 24-hour. Shade coding Generally, these characters will certainly have actually a condition when they show up in the crypto markets. Where the CrytoPunks are worried, a blue history suggested that punk was except sale, neither exist energetic quotes. Punks that were offered offer for sale would certainly have actually a red history. Those with an energetic quote would certainly have actually a purple history. MILFs have actually built such a solid track record for desirability, their incorporation as

Maya’s face as though wondering what to tell her. ‘It’s just I know they weren’t always happy, and I did once wonder if they’d have stayed together… There was something my husband, George, said when you were first in my maths class. As you know, he taught the other year one class at your primary school and mentioned how once he’d had to break up an argument between your parents when they were waiting to pick you up from school. It must have been pretty heated for him to remember it after all that time – he wasn’t one to gossip. Apparently, Mrs Lyons wouldn’t let you out of your classroom until George had managed to calm them down.’ Maya feels her stomach clench. ‘All couples argue.’ ‘I know.’ Mrs Ellis pats her hand. ‘And that’s why you mustn’t worry about it. It was a long time ago, anyway.’ The bus is stopping. Bending to her bag, Mrs Ellis moves it so that it’s not in the way of the people getting on. ‘But if you ever feel you want to spread your wings, you mustn’t feel your dad would be on his own. He’s a grown man, and you can’t make him your responsibility. I’m sure he has friends, neighbours, even work colleagues who would keep an eye on him. Doesn’t he have his own private practice in Lyme Regis?’ ‘Yes, but it’s not the same. He needs me.’ Maya’s voice slips away, so it’s barely a whisper. ‘Yes, he needs me. It’s why I couldn’t go to university.’ She doesn’t want to talk about that time for, although her dad had been encouraging when she’d first told him she was applying, a week after the forms were filled in, a cloud had settled over him. One that was darker than previous ones. Maya had tempted him with his favourite food, enticed him out for healing walks along the clifftop, but nothing she’d done could lift it. Eventually, telling herself it was because of what she’d done, she’d deleted her application from the computer. When her dad had found out and asked why she’d done it, she’d told him it was because she couldn’t face more studying. Would rather earn a living. Whether he’d believed her or not, she couldn’t say. What she did know was that he’d never tried to change her mind. ‘Do you like your job, Maya?’ Maya lowers her eyes and studies her hands. It’s something she hasn’t given much thought to. Her job is just something she does to get through

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Here’s the first sentence from his application essay: “My mission is to utilize my passion for computer science and machine learning to benefit society at large, while serving as an example of success that will shape the future of our society.

Cloud Service Any service made available to users on demand via the Internet from a cloud computing provider's servers rather than from a company's own on-premises servers is referred to as a cloud service. Cloud services are managed by a cloud services provider and are designed to enable easy, scalable access to applications, resources, and services. CLOUD SERVICES ARE SCALABLE AND DYNAMIC. A cloud service may dynamically scale to meet the needs of its customers, and because the service provider provides all of the necessary hardware and software, a corporation does not need to provision or deploy its own resources or dedicate IT people to operate the service. Online data storage and backup solutions, Web-based e-mail services, hosted office suites and document collaboration services, database processing, managed technical support services, and more are all examples of cloud services.

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Generally, the higher the clock speed, the better the CPU will perform in single-threaded applications.

That trifecta—humanities, technology, business—is what has made him one of our era’s most successful and influential innovators. Like Steve Jobs, Bezos has transformed multiple industries. Amazon, the world’s largest online retailer, has changed how we shop and what we expect of shipping and deliveries. More than half of US households are members of Amazon Prime, and Amazon delivered ten billion packages in 2018, which is two billion more than the number of people on this planet. Amazon Web Services (AWS) provides cloud computing services and applications that enable start-ups and established companies to easily create new products and services, just as the iPhone App Store opened whole new pathways for business. Amazon’s Echo has created a new market for smart home speakers, and Amazon Studios is making hit TV shows and movies. Amazon is also poised to disrupt the health and pharmacy industries. At first its purchase of the Whole Foods Market chain was confounding, until it became apparent that the move could be a brilliant way to tie together the strands of a new Bezos business model, which involves retailing, online ordering, and superfast delivery, combined with physical outposts. Bezos is also building a private space company with the long-term goal of moving heavy industry to space, and he has become the owner of the Washington Post.

The possibility of a seamless network of electrified robo-taxis, self-driving delivery vehicles, and public transit linked to smartphone applications might seem like science fiction, but the COVID-19 pandemic crisis in 2020 gave a flavor of what is to come. In China’s pandemic epicenter of Wuhan, unmanned, autonomous electric vehicles, monitored remotely from a computer screen in a different location, were used to deliver hospital supplies, to disinfect isolation areas, and to deliver meals to quarantined people.

Those who regard craft as a euphemism for elitism overlook the fact that craftsmanship need not be precious or effete; it can be practical, simple, an everyday thing: a well-made table, a sturdy chair, a butcher or tailor or travel agent who knows his or her business. A bricklayer or carpenter or teacher, a musician or salesperson, a writer of computer code—any and all can be craftsmen. Craftsmanship cements a relationship of trust between buyer and seller, worker and employer, and expects something of both. It is about caring about the work and its application. It is what distinguishes the work of humans from the work of machines, and it is everything that IKEA and other discounters are not.

prints L1 = [[2, 3]] L2 = [[2, 3]] because both L1 and L2 contain the object that was bound to L in the first assignment statement.

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some accounts initially refused to stock into a word-of-mouth bestseller. And for the next three years they bought For Dummies books, millions of them. And wrote us letters (maybe not millions of them, but lots). They thanked us for teaching them how to use their computer, their operating system, their applications. And they asked For Dummies books to apply those technologies to their lives. Our first response in 1994 was Personal Finance For Dummies, another bestseller. This coincided with another debut in 1994, the first World Wide Web conference, held in Geneva, Switzerland. The Web was introducing the Internet to computer users, and the role of the PC/Mac in peoples’ lives was changing again. Computing devices became microwave ovens of information, allowing people everywhere to explore every area of human interest and endeavor. So Internet For Dummies was published that year, winning a first-place award from the Computer Press Association. And so we looked beyond computing itself, to the areas of work and life the Internet could touch, to expand our list and reach. Our reach also expanded beyond the U.S., and even the English-speaking world. Before the

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Ultimately, I try to think of my application’s main codebase as just stringing together various components and code from many sources. It just controls logic and flow. The real nitty-gritty is handled behind the scenes. This is why frameworks like Backbone are so important — they hide a lot of the details in the background and allow you to just focus on the flow and control of your application.

Loic Le Meur, producer of LeWeb, Europe’s largest tech conference, is an ardent fitness enthusiast and Quantified Self proponent. In August 2010, he suggested in a blog post that as people and mobile devices work together to provide highly personalized data, the human body itself becomes an Application Programming Interface (API), meaning that developers can now offer personalized mobile apps for each individual by letting their computer codes talk with each other.

Three powerful technology trends have converged to fundamentally shift the playing field in most industries. First, the Internet has made information free, copious, and ubiquitous—practically everything is online. Second, mobile devices and networks have made global reach and continuous connectivity widely available. And third, cloud computing10 has put practically infinite computing power and storage and a host of sophisticated tools and applications at everyone’s disposal, on an inexpensive, pay-as-you-go basis.

Office 365 is Microsoft’s cloud based service and is a subscription-based version of Office 2013. Unlike any of the traditional Office suites such as Office 2010, Office 365 allows you to install Office applications on up to five different computers. It includes some additional features, such as Office on Demand, 20 GB of additional online storage space through SkyDrive, and the option to install Office 2011 on Mac computers.

Braid groups have many important practical applications. For example, they are used to construct efficient and robust public key encryption algorithms.7 Another promising direction is designing quantum computers based on creating complex braids of quantum particles known as anyons. Their trajectories weave around each other, and their overlaps are used to build “logic gates” of the quantum computer.8 There are also applications in biology. Given a braid with n threads, we can number the nails on the two plates from 1 to n from left to right. Then, connect the ends of the threads attached to the nails with the same number on the two plates. This will create what mathematicians call a “link”: a union of loops weaving around each other. In the example shown on this picture, there is only one loop. Mathematicians’ name for it is “knot.” In general, there will be several closed threads. The mathematical theory of links and knots is used in biology: for example, to study bindings of DNA and enzymes.9 We view a DNA molecule as one thread, and the enzyme molecule as another thread. It turns out that when they bind together, highly non-trivial knotting between them may occur, which may alter the DNA. The way they entangle is therefore of great importance. It turns out that the mathematical study of the resulting links sheds new light on the mechanisms of recombination of DNA. In mathematics, braids are also important because of their geometric interpretation. To explain it, consider all possible collections of n points on the plane. We will assume that the points are distinct; that is, for any two points, their positions on the plane must be different. Let’s choose one such collection; namely, n points arranged on a straight line, with the same distance between neighboring points. Think of each point as a little bug. As we turn on the music, these bugs come alive and start moving on the plane. If we view the time as the vertical direction, then the trajectory of each bug will look like a thread. If the positions of the bugs on the plane are distinct at all times – that is, if we assume that the bugs don’t collide – then these threads will never intersect. While the music is playing, they can move around each other, just like the threads of a braid. However, we demand that when we stop the music after a fixed period of time, the bugs must align on a straight line in the same way as at the beginning, but each bug is allowed to end up in a position initially occupied by another bug. Then their collective path will look like a braid with n threads. Thus, braids with n threads may be viewed as paths in the space of collections of n distinct points on the plane.10

The building of a computer application is very identical to the building of a house; they both have to be logically designed.

SOA actually means that components of an application act as interoperable services, and can be used independently and recombined in other applications. The

The silicon microchips themselves might be cheap (relative to times past, anyway), but CPU cycles are not cheap. Every CPU cycle consumes clock time. Clock time is latency. A wasteful application makes its users wait longer than they need to, and if there’s anything users hate, it’s waiting. For web systems, latency in the application has a dual effect. The added processing directly increases the burden on the application servers themselves. Suppose that an application takes just 250 milliseconds of extra processing per transaction. If the system processes a million transactions a day, that extra 250 milliseconds per transaction makes for an extra 69.4 hours of compute time every day. Assuming an 80% load factor on each server, you’ll need four additional servers to handle this load.

True utility computing centers are on the horizon, but right now, the only real ones are a pale approximation of this vision. In the world that the other 99.9% of us inhabit, production systems are deployed to some relatively fixed set of resources. Applications

Index design is also a largely iterative process, based on the SQL generated by application designers. However, it is possible to make a sensible start by building indexes that enforce primary key constraints and indexes on known access patterns, such as a person's name. As the application evolves and testing is performed on realistic sizes of data, certain queries will need performance improvements for which building a better index is a good solution.

Whatever actions may have been appropriate for your survival when you were a child, are probably no longer necessary. However, the ego cannot know that. It is like a computer program, reacting to life robotically; doing what it deems is most applicable in the present circumstance, according to past experience. The problem is, it often blocks you from feeling what is appropriate in the present moment, through its preconceived notions of what worked best in the past, and may not necessarily pertain any longer. For example you may resist intimacy now by pushing others away, in effect shut them out, because as a five year old you did the same in order to protect your vulnerability.