Computer Applications Quotes

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)

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. 

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

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.

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

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

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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’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.

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.

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

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.

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.

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.

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.

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.

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TinyWall is a firewall application that by default blocks every program and keeps them from accessing the internet. You can approve individual processes or executables and allow them internet access. This will help to make sure you aren’t unwittingly leaking information.     If you suspect that someone might be physically accessing your computer while you are away, you can set up a hidden camera to keep an eye on the computer while you are gone.

Building software for the cloud requires developing stateless applications.

Against this background, we can understand the design of computer applications as a concerned social- and historical-conditioned activity in which tools and their use are envisioned. This is an activity and form of knowledge that is both planned and creative.

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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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The things you’re accustomed to are dangerous. In applications intended for use within an organization, a design based on API calls works well and is easy to develop. The API call metaphor assumes away the network boundary and lets a client invoke a method on a remote computer just like it would call the API of a local code library.

She leaned forward and placed her chin on her fist. 'So. Can you tell me in a sentence or two how I can fix my life using vaastu shastra techniques?' He smiled. 'You'll be surprised to hear that I can. These things may be complex on the surface, but they are built on very simple truths.' He leaned back and joined his fingertips together, looking up and thinking for a few seconds. 'Let me put it like this. Consider your desk, whether it is an office desk, or a table at home where you receive and write letters. What happens at that desk? Answer: every day, a number of letters are received. Or faxes. Or advertisements. These are all items with potential energy applications. They are all bits of paper urging you to react in some way—to buy a product, or respond with a phone call, or change the way you do something. Now what we should do is to react to that potential energy transaction in some way—and thus burn up the energy in it. We should either fulfill it, by doing what it says, or we should make a decision that we are not going to fulfill it, but instead throw the paper away. But, instead, we take that piece of paper and we balance it on our desk, unwilling to make an immediate decision. This happens to a number of pieces of paper every day, and then before we know it, there is a huge pile of pieces of paper on the desk. When it gets too high, we take the pile of paper and we tuck it into a drawer. When the drawer gets so full it cannot close, we tuck the paper into a cardboard box and stick it under the desk. Soon our desks are jammed with paper—underneath, inside & on top.' 'Good God! You've been spying on me!' 'Alas, it is what most people's desks look like.' 'What's the effect of all these unfulfilled bits of paper? What did you call it—potential energy transactions?' 'I shall tell you. The day comes when you arrive at your desk, and you have lots of work to do, but you can't do it. You feel an incredible amount of inertia. You can't get started. And you have no idea why.' 'You peeping Tom! You've been staring at me through my office window.' 'The reason why you can't get started is that your desk is swamped with frozen energy. It is lying there, waiting to be handled. But the inertia infects everything you do, so that you end up unable to do anything.' She shook her head. 'It's awful, but it all rings true. What about computers? I use mostly email these days.' 'They're just the same. The only difference is that instead of physical letters arriving at your desk, emails arrive in your inbox. Again, each of them is a potential energy transaction. And again, the right thing to do would be to delete each one, or reply to each one—and then delete it. But that's not what we do, is it?' 'It is not.' 'We leave them there in our inboxes.' She nodded guiltily. 'And soon there are 600 emails in our inboxes.' '800.' 'And eventually, we select them all and stick them in a file called "archive"—which is simply the computer equivalent of the cardboard box under the desk. And the result is the same. Our email systems become full of frozen energy, & inertia spreads out of it. We find ourselves unable to do any useful work.' 'I've often wondered why I feel like I am walking in treacle. So what should one do about all this?' Sinha waved a bony index finger at her. 'This is what I recommend. Divide all your paperwork into 2 piles. One of stuff that is useless and should be thrown away. And one of stuff which you think may be of use one day. Then you throw both piles away.' 'Both piles?' 'Both piles. By that stage, you will have started to feel the benefits that clarity can bring.' 'And I suppose one should delete all one's emails as well.' 'Exactly. Even if you don’t, that nice Mr. Gates has arranged for the computer to crash every few years, so that all your stuff gets wiped out anyway.

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.

A note on terminology: anything that is executable on a computer we call a program. Some programs have graphical user interfaces; we will call these applications.

computer and enter a single network registration key. All workstations can run the application from there. For example if you have 25 users in a network environment, you will pay for 25 licenses

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.

The applicability of the Erlang-B formula stems from the fact that it is independent of the service time distribution.

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.

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.

Back in the early days of the personal computer, IBM was the industry leader. In the early eighties they had just released the personal computer, and it was taking the business world by storm. They were so sure the profit was all in the hardware, and software was just a minor accessory. In their carelessness, they sold the software that ran their computers to an unknown Harvard dropout named Bill Gates, and they learned the hard way, the computer business is driven by applications, not by the hardware.

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.

The children next produced and distributed four 60-second public service announcements (PSAs) on the effects of pollution on the environment and on health. In producing the PSAs, students learned how to use specialized applications for professional audiovisual scripts and shot their PSAs against a blue screen, using a computer as a teleprompter.

I don't usually play computer games; they rob people of time and contribute nothing to the world. Think of the time people (mainly boys or boyish men) spend on those applications wasting their time; they're stealing the chance of learning or growing or just doing anything that could have a long-lasting effect that might leave us with something.

Livingston: Why did users like Viaweb? Graham: I think the main thing was that it was easy. Practically all the software in the world is either broken or very difficult to use. So users dread software. They've been trained that whenever they try to install something, or even fill out a form online, it's not going to work. I dread installing stuff, and I have a PhD in computer science. So if you're writing applications for end users, you have to remember that you're writing for an audience that has been traumatized by bad experiences. We worked hard to make Viaweb as easy as it could possibly be, and we had this confidence-building online demo where we walked people through using the software. That was what got us all the users.

I'll start with a profit of money when I making iPhone applications. And I will be making iPhone applications when they owned a Mac computer. Somtlk Mac and PC when the Start a profit of some funds.

Software vendors are building new applications specifically for these new architectures. Third parties are creating tools to monitor and manage these applications and infrastructure areas. As cloud computing begins to become the de facto model for development, deployment, and maintaining application services, this area will expand even further.

Just like Nova Compute, which lets you virtualize machine instances, Neutron Networking lets you virtualize networking components such as routers, firewalls, and load balancers, as shown in Figure 2-10

In Neutron, when creating a router you can additionally specify that it provide high availability (HA), or that it be a distributed virtual router, which as mentioned above is spread out across all of the compute nodes

What is an operating system, really? What did Cutler’s team wish to create? Picture a wealthy English household in the early 1900s. Think of a computer—the hardware—as a big house, the family’s residence. The house consists of plumbing and lighting, bricks and mortar, windows and doors—all manner of physical things and processes. Next, imagine computer software as the people in the house. The household staff, living downstairs, provide a whole range of services at once. The butler stands by the door, the driver washes the car, the housekeeper presses the linen, the cook provides meals and bakes cakes, the gardener rakes the leaves from the lawn. And this activity, which seemingly happens of its own accord, is coordinated by the head of the household staff. Such is the life of the downstairs dwellers, who in a certain sense exist in the background. Then consider the people upstairs. They are the whole reason for the toil of the people downstairs. The husband desires a driver not simply for peace of mind but because he wishes to travel. The wife employs a cook, so her family can eat well. The children benefit from the work of the gardener, who clears the yard of debris, enabling them to play outdoors safely. The picture of the family upstairs and their faithful downstairs servants neatly illustrates the great divide in the world of software. The people upstairs are the applications: the word-processing, electronic ledger, database, publishing and numerous other programs that satisfy human needs and wants. The people downstairs collectively perform the functions of an operating system. Theirs is a realm of services, some automatic, some requiring a special request. These services lay the basis for the good stuff of life. Cutler

A kernel design had two main benefits. First, the kernel ensured reliability by allowing a user to keep other applications active or launch new ones even if one program accidentally halted. Second, the kernel made it possible for an operating system to display multiple personalities. Each operating-system personality called the kernel in order to issue commands to the computer.

In the formative years of digital computing, following World War II, both the operating system and applications were considered afterthoughts by designers. The “hardware” of electronics, as distinct from the “software” of programs, was so difficult that engineers could hardly see past it. The most important type of hardware was the circuitry or processors that actually carried out the instructions given the computer. A second set of devices made it possible to get data into and out of a computer. A third class stored information. A fourth class allowed one computer to send information to another, over special cable or telephone lines. The question of software generally arose only after the hardware pieces fell into place.

At heart, Bayes’ theorem is just a simple rule for updating your degree of belief in a hypothesis when you receive new evidence: if the evidence is consistent with the hypothesis, the probability of the hypothesis goes up; if not, it goes down. For example, if you test positive for AIDS, your probability of having it goes up. Things get more interesting when you have many pieces of evidence, such as the results of multiple tests. To combine them all without suffering a combinatorial explosion, we need to make simplifying assumptions. Things get even more interesting when we consider many hypotheses at once, such as all the different possible diagnoses for a patient. Computing the probability of each disease from the patient’s symptoms in a reasonable amount of time can take a lot of smarts. Once we know how to do all these things, we’ll be ready to learn the Bayesian way. For Bayesians, learning is “just” another application of Bayes’ theorem, with whole models as the hypotheses and the data as the evidence: as you see more data, some models become more likely and some less, until ideally one model stands out as the clear winner.

Bayes’ theorem is useful because what we usually know is the probability of the effects given the causes, but what we want to know is the probability of the causes given the effects. For example, we know what percentage of flu patients have a fever, but what we really want to know is how likely a patient with a fever is to have the flu. Bayes’ theorem lets us go from one to the other. Its significance extends far beyond that, however. For Bayesians, this innocent-looking formula is the F = ma of machine learning, the foundation from which a vast number of results and applications flow. And whatever the Master Algorithm is, it must be “just” a computational implementation of Bayes’ theorem. I put just in quotes because implementing Bayes’ theorem on a computer turns out to be fiendishly hard for all but the simplest problems, for reasons that we’re about to see.

Cairo’s approach was risky; it perhaps called for too large a leap by forcing individuals to greatly change their way of using PCs. Instead of working with several familiar applications, a Cairo customer would deal directly with data. Gates called this having “information at your fingertips.” Though it was an untested concept, Gates was as passionate about it as he was about putting NT on many different types of computers. But unlike NT, which was nearly done, Cairo seemed closer to science fiction. At

The ability to carry into the future thousands of applications from the past placed NT in a class of its own in the brief history of personal computing. But the Windows personality enabled NT to keep one foot in the past. This was the great departure. Computer makers previously had forced customers to adopt an abandon-ship attitude to their past applications software. To achieve a higher level of performance, customers were asked to leave everything behind (they could still use their old software if they were willing to essentially sacrifice the innovations in their new ship). Microsoft itself had essentially made this pitch when it initially introduced OS/2 in 1987. The failure of OS/2 left a deep impression on Gates; it gave him a better sense of the shock of the new, of just how much innovation the mass of PC owners could accept at once. Customers wanted to carry the past into the future, so NT must support old applications. Achieving

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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. Today, access to these technologies is still unavailable to much of the world’s population, but it won’t be long before that situation changes and the next five billion people come online.

Android’s great Sky Map is an astronomy application that turns a phone into a star chart. It was built by a team of Googlers in their spare time (what we call “20 percent time”—more on that later), not because they love to program computers, but because they were enthusiastic amateur

Another contender was Nokia’s 9000 Communicator, a book-sized tool that looked like a cellphone strapped onto a mini keyboard. A precursor to the smartphone, the 9000 combined computing, cellular, and Internet applications such as browsing and e-mail. The Finnish phone was so glamorous it was used by Val Kilmer’s Simon Templar character in the 1997 remake of The Saint. Few consumers, however, could afford the $800 price tag, and wireless cellular network carriers more accustomed to handling voice traffic charged a fortune to relay

One way to track social media is through a tool called Rescue Time, which runs in the background of your computer and gives you a detailed report (broken down by time spent and overall percentages) of the sites and applications that you frequently use.

Without a computer and with no other way to access the Internet, she had managed to submit fifty job applications online via her iPhone’s tiny touch screen in the past few months. While these applications had generated some interviews, they had not resulted in a single job offer.

Lync has its title altered. And so what sort of computer software is it now? Well, it is identified as Lync Mac Business. The particular motive for carrying this out is a need to combine the familiar experience and level of popularity from consumers associated with Lync Mac along with security regarding Lync as well as control feature set. Yet another thing which Lync has got influenced in this specific new version of Lync happens to be the transformation associated with particular graphical user interface aspects which are used in the popular program of Lync Mac. It has been chose to utilize the same icons as in Lync as an alternative to attempting to make new things. Microsoft Company furthermore included the particular call monitor screen which happens to be applied within Lync in order that consumers could preserve an active call seen inside a small display when customers happen to be focusing on yet another program. It is additionally essential to point out that absolutely no features which were obtainable in Lync are already eliminated. And you should additionally understand that Lync Mac happens to be nevertheless utilizing the foundation regarding Lync. And it is very good that the actual software is nevertheless operating on the previous foundation since it happens to be known for the security. However what helps make Lync Mac a great choice if perhaps you're searching for an immediate texting software? There are a wide range of advantages which this particular application has got and we'll have a look at a few of these. Changing from instantaneous messaging towards document sharing won't take a great deal of time. Essentially, it provides a flawless incorporation associated with the software program. An improved data transfer administration is yet another factor that you'll be in a position enjoy from this program. Network supervisors can assign bandwidth, limit people and also split video and audio streams throughout each application and control the effect of bandwidth. In case you aren't making use of Microsoft Windows operating system and prefer Lync in that case possibly you're concerned that you will not be able to utilize this particular application or it is going to possess some constraints? The reply happens to be no. As we've talked about many times currently, Lync is currently best-known as being Lync For Mac Business .There is nothing that is actually extracted from the main edition therefore the full functionality is actually offered for you. And it is certainly great to understand the fact that Lync that we should simply call Lync For Mac version is actually capable to provide you all the characteristics which you'll need. If you happen to be trying to find a fantastic application for your own organization, in that case this is the one particular you are in search of Lync For Mac which will still be acknowledged as being Lync for a long period edition is actually competent to present you with everything that is actually necessary for your organization even if you decided to not utilize Microsoft operating system. Know about more detail please visit lyncmac.com

When you feel the urge to design a complex binary file format, or a complex binary application protocol, it is generally wise to lie down until the feeling passes.

Web Application Development In this modern world of computer technology all people are using internet. In particular, to take advantage of this scenario the web provides a way for marketers to get to know the people visiting their sites and start communicating with them. One way of doing this is asking web visitors to subscribe to newsletters, to submit an application form when requesting information on products or provide details to customize their browsing experience when next visiting a particular website. In computing, a web application is a client–server software application in which the client runs in a web browser. HTML5 introduced explicit language support for making applications that are loaded as web pages, but can store data locally and continue to function while offline. Web Applications are dynamic web sites combined with server side programming which provide functionalities such as interacting with users, connecting to back-end databases, and generating results to browsers. Examples of Web Applications are Online Banking, Social Networking, Online Reservations, eCommerce / Shopping Cart Applications, Interactive Games, Online Training, Online Polls, Blogs, Online Forums, Content Management Systems, etc.. Applications are usually broken into logical chunks called “tiers”, where every tier is assigned a role. Traditional applications consist only of 1 tier, which resides on the client machine, but web applications lend themselves to an n-tiered approach by nature. Though many variations are possible, the most common structure is the three-tiered application. In its most common form, the three tiers are called presentation, application and storage, in this order. A web browser is the first tier (presentation), an engine using some dynamic Web content technology (such as ASP, CGI, ColdFusion, Dart, JSP/Java, Node.js, PHP, Python or Ruby on Rails) is the middle tier (application logic), and a database is the third tier (storage).The web browser sends requests to the middle tier, which services them by making queries and updates against the database and generates a user interface. Client Side Scripting / Coding – Client Side Scripting is the type of code that is executed or interpreted by browsers. Client Side Scripting is generally viewable by any visitor to a site (from the view menu click on “View Source” to view the source code). Below are some common Client Side Scripting technologies: HTML (HyperTextMarkup Language) CSS (Cascading Style Sheets) JavaScript Ajax (Asynchronous JavaScript and XML) jQuery (JavaScript Framework Library – commonly used in Ajax development) MooTools (JavaScript Framework Library – commonly used in Ajax development) Dojo Toolkit (JavaScript Framework Library – commonly used in Ajax development) Server Side Scripting / Coding – Server Side Scripting is the type of code that is executed or interpreted by the web server. Server Side Scripting is not viewable or accessible by any visitor or general public. Below are the common Server Side Scripting technologies: PHP (very common Server Side Scripting language – Linux / Unix based Open Source – free redistribution, usually combines with MySQL database) Zend Framework (PHP’s Object Oriented Web Application Framework) ASP (Microsoft Web Server (IIS) Scripting language) ASP.NET (Microsoft’s Web Application Framework – successor of ASP) ColdFusion (Adobe’s Web Application Framework) Ruby on Rails (Ruby programming’s Web Application Framework – free redistribution) Perl (general purpose high-level programming language and Server Side Scripting Language – free redistribution – lost its popularity to PHP) Python (general purpose high-level programming language and Server Side Scripting language – free redistribution). We also provide Training in various Computer Languages. TRIRID provide quality Web Application Development Services. Call us @ 8980010210

It was fair to say almost everyone was burned out by now. Morale was so low that the team, as a whole, didn’t crunch. The artists didn’t need to review their work in meetings anymore because everyone had the Warcraft look-and-feel down; they just moved from one art task to the next. Programming inched forward, mole-like, worrying only about the task immediately in front of them. Releasing the game in February didn’t look likely anymore. That meant more time crunching and bug hunting, and few were happy at the prospect. The game designers had the functionality they needed, but wowedit’s tools weren’t streamlined because David Ray had been reassigned to working on the god tool, an application that would be used by our GMs for in-game customer support. Most of the designers were too busy to socialize. The classes and combat were getting overhauled again, and the item system was getting revisited by adding procedurally created items to keep the loot tables feeling fresh. This meant possible delays for the friends-and-family alpha test, and everyone was tired of telling their nearest and dearest that our game wasn’t ready to play yet (and that they’d be the first to know when it was). Even the producers had resigned themselves to the fact that we wouldn’t be shipping in the first quarter of 2004. They were seeing stability problems, and we were having a hard time getting a playable build. This made things especially hard for the game designers, who needed to test their data, but no one was really coming down on the programmers, as they were already haggard. Nevertheless, when the game crashed, people were getting visibly upset. Our shipping date was pushed to June, although some people doubted even that was possible.

An Operating system also provides services to application programs. When an application program needs to read from, or write to the disk, or draw letters on the screen, it does not have to do all of the complicated I/O instructions necessary to accomplish the task. The OS has a number of small routines that it keeps in RAM at all times for such purposes. All an application needs to do to use one of these routines is to load up some information in the registers, and then jump to the address of the proper OS routine.

WHY STUDY DISCRETE MATHEMATICS? There are several important reasons for studying discrete mathematics. First, through this course you can develop your mathematical maturity: that is, your ability to understand and create mathematical arguments. You will not get very far in your studies in the mathematical sciences without these skills. Second, discrete mathematics is the gateway to more advanced courses in all parts of the mathematical sciences. Discrete mathematics provides the mathematical foundations for many computer science courses, including data structures, algorithms, database theory, automata theory, formal languages, compiler theory, computer security, and operating systems. Students find these courses much more difficult when they have not had the appropriate mathematical foundations from discrete mathematics.

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).

Like Polavision or the Boeing 747, the NeXT Cube was a beautiful, technologically remarkable, wildly expensive machine—with no customers. The new optical drives had many times the memory of magnetic drives or floppy disks. But competitors offered more convenience, more useful applications, and lower costs. The summary of Polavision—“a product that has much more scientific and aesthetic appeal than commercial significance”—applied equally well to the NeXT computer.

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.

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.

Norton Login – Norton antivirus and its great application to remove virus from computer. This application easily detect Trojans on computer and kill them permanently. This software utility easily maintain security guideline for your database.