Computer Applications Technology Quotes

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. 

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.

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.

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.

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.

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.

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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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

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.

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.

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.

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

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.

Worldwide, the prospects of the fast-advancing quantum computing (r)evolution, will challenge the pre-quantum way of conducting scientific and industrial development by making digital transformation of societies, organizations, and financial markets fundamentally different. Beyond the commercial research and development made possible by global corporations; universities; scientific communities; research laboratories… the nation states, we could presume, are interested the most in practical application of quantum technologies.

Right now, We are living in perhaps the most exciting time in history to buy, own or play that eternal instruments, The piano Cover. What is your goal is to purchase something as small as software that can record what you want to play, a newly designed player piano, a digital machine or a classic phonetic model, there have never been as many options for the trencherman. Player Pianos Also called reproducing pianos. this class of instrument describe a modern update on the paper-outcry player pianos you keep in mind from old movies, and they have grown enormously in popularity over the final decennial. These are not digital instruments they are real, philological pianos with hammers and rope that can be played generally. but they can also start themselves. using filthy electronic technology. Instead of shove paper, they take their hint from lethargic disks, specially formatted CDs or internal memory systems. different manufacturers offer vast sanctum of pre-recorded titles for their systems. music in every genre from pop to the classics filed by some of the earth’s top pianists. These sophisticated systems arrest every nuance of the original performances and play them back with dramatic accuracy providing something that’s actually so much better than CD fidelity because the activities are live. Watch my new cover : Dancing on my own piano Thanks to these new systems, many people who do not play the piano are enjoying live piano music at any time of at morning, night and day. How many they are concurrent dinners for two or entertaining a houseful of partygoers, these high-tech pianos take centre period. For people who do play the piano, these systems can be used to record their own piano deeds, Interface by- Computers, aid in music education, assist with composing and many other applications. In short, these modern marvels aren’t your grandfather's’ player pianos! If you want to learn see the video first : Dancing on my own piano cover

The Internet of Things First of all, what is the Internet of Things? The Internet of Things is the link between the internet and everyday objects that allows them to send and receive digital information and data. Its potential is huge and some say it could become a multi-trillion-dollar market. One start-up called Slock.it is attempting to tap into this potential by developing an app on the Ethereum blockchain that links physical assets, such as apartments, bikes, or vans, to a smart contract that allows users to rent the item out. The application is called Ethereum Computer and could potentially eliminate fees to rent the assets of others. It is a kind of blockchain version of Airbnb and creates a much cheaper option for both affiliates and users.

Oracle 12c Enterprise or Standard Edition – building on Oracle’s unique ability to deliver Grid Computing, 12c gives Oracle customers the agility to respond faster to changing business conditions, gain competitive advantage through technology innovation, and reduce costs.

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.

So long as module improvement respects the protocols by which the module connects to other modules, module improvement can proceed independently of those other modules. An extreme case of this is when the protocols are between different levels of the modular hierarchy and when there is richness on both sides of the protocol. When the upper side of the protocol is rich, the knowledge base on the lower side of the protocol is often referred to as a 'platform' on which knowledge modules above it can be based. In science, Newton's laws were a platform on which both celestial and terrestrial mechanics could be based. In technology, the personal computer software operating system is a platform on which a rich set of software application can be based. Moreover, when the lower side of the protocol is also rich, the shape of the knowledge network becomes hourglass-like. In the case of technological knowledge, the waist of the hourglass is a distinguished layer or protocol, with technologies underneath implementing the protocol and technologies above building on the protocol - with both sides 'screened' from each other by the protocol itself. As a result, the number of applications explodes independent of implementation details; similarly, the number of implementations explodes independent of application details. The number of software applications built on the Windows operating system is enormous; the number of hardware and software implementations of the Windows operating system is also enormous. In other words, imagine two complex adaptive systems, one organized modularly and one not. At one moment, both might be able to exploit their environments equally and thus be equally 'adapted' to their environment. But they will evolve at vastly different rates, with the one organized modularly quickly outstripping the one not so organized. Modularity appears to be an evolved property in biology, one that is mimicked in the organization of human knowledge.

React Native, being the most compelling and captivating technology for app development has been growing at fanatic pace since inception. Using this Facebook technology, NicheTech provides customized React Native app development services leveraging its vast skill set and technology expertise.

AWS and the Seven-Year Lead When creating Amazon Web Services (cloud computing), Amazon was essentially creating their own internal Internet Operating System (IOS) and then leveraging their technology infrastructure into a profit center. He said, “IT departments are recognizing that when they adopt AWS, they get more done. They spend less time on low value-add activities like managing datacenters, networking, operating system patches, capacity planning, database scaling, and so on and so on. Just as important, they get access to powerful APIs [Application Programing Interfaces] and tools that dramatically simplify building scalable, secure, robust, high-performance systems. And those APIs and tools are continuously and seamlessly upgraded behind the scenes, without customer effort.” —Bezos (2014 Letter) In other words, Amazon took the proprietary infrastructure they built for themselves and turned it into a service that any developer could use for their own purposes.

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.

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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.

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When we “see,” we are actually applying our accumulated knowledge of the world—everything we’ve learned in our lives about perspective, geometry, common sense, and what we have seen previously. These come naturally to us but are very difficult to teach a computer. Computer vision is the field of study that tries to overcome these difficulties to get computers to see and understand. COMPUTER VISION APPLICATIONS We are already using computer vision technologies every day. Computer vision can be used in real time, in areas ranging from transportation to security. Existing examples include: driver assistants installed in some cars that can detect a driver who nods off autonomous stores like Amazon Go, where cameras recognize when you’ve put a product in your shopping cart airport security (counting people, recognizing terrorists)

The rapid rise of communication and collaboration technologies has transformed many other formerly local markets into a similarly universal bazaar. The small company looking for a computer programmer or public relations consultant now has access to an international marketplace of talent in the same way that the advent of the record store allowed the small-town music fan to bypass local musicians to buy albums from the world’s best bands. The superstar effect, in other words, has a broader application today than Rosen could have predicted thirty years ago. An increasing number of individuals in our economy are now competing with the rock stars of their sectors.

As noted previously, there are a number of other algorithms beyond search, prime factors and Monte Carlo methods, though many of these apply only to very specialist mathematical problems and may never have practical applications. As yet, though, the range available is relatively limited. Some of this may be due to the limitations that are imposed in dreaming up algorithms without an actual device to run them on, but it is entirely possible that the list will always be fairly short, as we shouldn’t underestimate the difficulties of getting quantum algorithms that will run. However, Lov Grover commented in an interview with the author a while ago: ‘Not everyone agrees with this, but I believe that there are many more quantum algorithms to be discovered.’ Even if Grover is right, quantum computers are never going to supplant conventional computers as general-purpose machines. They are always likely to be specialist in application. And, as we shall see, it is not easy to get quantum computers to work at all, let alone develop them into robust desktop devices like a familiar PC.

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.

but not in the way it is intended to be.3 For an example of a chain of unintended uses, let us start with Phase One, the computer. The mathematical discipline of combinatorics, here basic science, derived from propositional knowledge, led to the building of computers, or so the story goes. (And, of course, to remind the reader of cherry-picking, we need to take into account the body of theoretical knowledge that went nowhere.) But at first, nobody had an idea what to do with these enormous boxes full of circuits as they were cumbersome, expensive, and their applications were not too widespread, outside of database management, only good to process quantities of data. It is as if one needed to invent an application for the thrill of technology. Baby boomers will remember those mysterious punch cards. Then someone introduced the console to input with the aid of a screen monitor, using a keyboard. This led, of course, to word processing, and the computer took off because of its fitness to word processing, particularly with the microcomputer in the early 1980s. It was convenient, but not much more than that until some other unintended consequence came to be mixed into it. Now Phase Two, the Internet. It had been set up as a resilient military communication network device, developed by a research unit of the Department of Defense called DARPA and got a boost in the days when Ronald Reagan was obsessed with the Soviets. It was meant to allow the United States to survive a generalized military attack. Great idea, but add the personal computer plus Internet and we get social networks, broken marriages, a rise in nerdiness, the ability for a post-Soviet person with social difficulties to find a matching spouse. All that thanks to initial U.S. tax dollars (or rather budget deficit) during Reagan’s anti-Soviet crusade.

Description As one of the high level programming languages, Python is considered a vital feature for data structuring and code readability. Developers need to learn python 1 ,2 & 3 to qualify as experts. It is object-oriented and taps the potential of dynamic semantics. As a scripting format it reduces the costs of maintenance and lesser coding lines due to syntax assembly. Job responsibilities Writing server side applications is one of the dedicated duties of expected from a skilled worker in this field. If you enjoy working backend, then this is an ideal job for you. It involves: · Connecting 3rd party apps · Integrating them with python · Implement low latency apps · Interchange of data between users and servers · Knowledge of front side technologies · Security and data protection and storage Requisites to learn There are several training courses for beginners and advanced sessions for experienced workers. But you need to choose a really good coaching center to get the skills. DVS Technologies is an enabled Python Training in Bangalore is considered as one of the best in India. You will need to be acquainted with: · Integrated management/ development environment to study · A website or coaching institute to gather the knowledge · Install a python on your computer · Code every day to master the process · Become interactive Course details/benefits First select a good Python Training institute in Bangalore which has reputed tutors to help you to grasp the language and scripting process. There are several courses and if you are beginner then you will need to opt for the basic course. Then move on to the next advanced level to gain expertise in the full python stack. As you follow best practices, it will help you to get challenging projects. Key features of certification course and modules · Introduction to (Python) programming · Industry relevant content · Analyze data · Experiment with different techniques · Data Structures Web data access with python · Using database with this program DVS Technology USP: · Hands-on expert instructors: 24-hour training · Self-study videos · Real time project execution · Certification and placements · Flexible schedules · Support and access · Corporate training

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.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

Most Mondays, their visit to Ive would be followed by one to Avie and the team working on Apple’s new operating system, which would eventually be called OS X. The radical new operating system would be the flywheel of all the extraordinary developments that would follow over the next decade, from Apple’s suite of iLife applications, to iOS—the slimmed-down operating system that would give life to the iPhone and iPad—to the entirely new software industry that emerged to produce the millions of apps written for those devices. While Steve’s gadgets and computers drew the most attention, the software that made them go was every bit as important. Steve always said that Apple’s primary competitive advantage was that it created the whole widget: the finely tuned symbiosis between the hardware and the software together defined a superior user experience. In the PC world, hardware and software technologies came from different companies that didn’t always even get along, including IBM and the PC-clone manufacturers, Microsoft, and Intel.

Tech Live Connect | Software Update Tech Live Connect to commercially operate in 2011, with its first base in Singapore. Since its inception, the company has been providing optimum technology services to household and corporate clients. The company is being ran by a team of hardworking professionals who have also made excellent customer service a huge part of their job. From providing simple computer set-up and troubleshooting support to its client base, TLC has since then expanded its services to Software Update Network Set up Network Security Malware Removal PC Speed up System/application set up Installation assistance Device set up Device sync System tune-up

Among the many private initiatives in this field, the latest, launched in the summer of 2012, is aimed at middle-school female students in New York. Girls who Code is a seminar, hosted by a startup (AppNexus in 2012), where 13-17 year-old girls learn how to write software programs, design websites, and build applications. Mainly, they learn that these subjects are fun and accessible to them, and not only to male computer geeks. “Girls who Code is not just a program, it's a movement to close the sexist gap in the technological sector,” explained the program’s two organizers, Reshma Saujani and Kristen Titus, to attendees of a big gala that took place on the evening of Oct. 22, 2012 on the floor of the New York Stock Exchange. The occasion was to celebrate the success of the first edition of Girls Who Code and collect additional funds in support of the initiative. The first 20 “graduates” of the course spoke of their experience and their dreams for the future, while sitting at the gigantic table in the NYSE’s Board Room. Tomorrow, one of them could return as the CEO of a high-tech business, and perhaps ring the bell on the trading floor to inaugurate her company’s Initial Public Offering.

A Solution Waiting for a Problem Engineers tend to develop tools for the pleasure of developing tools, not to induce nature to yield its secrets. It so happens that some of these tools bring us more knowledge; because of the silent evidence effect, we forget to consider tools that accomplished nothing but keeping engineers off the streets. Tools lead to unexpected discoveries, which themselves lead to other unexpected discoveries. But rarely do our tools seem to work as intended; it is only the engineer’s gusto and love for the building of toys and machines that contribute to the augmentation of our knowledge. Knowledge does not progress from tools designed to verify or help theories, but rather the opposite. The computer was not built to allow us to develop new, visual, geometric mathematics, but for some other purpose. It happened to allow us to discover mathematical objects that few cared to look for. Nor was the computer invented to let you chat with your friends in Siberia, but it has caused some long-distance relationships to bloom. As an essayist, I can attest that the Internet has helped me to spread my ideas by bypassing journalists. But this was not the stated purpose of its military designer. The laser is a prime illustration of a tool made for a given purpose (actually no real purpose) that then found applications that were not even dreamed of at the time. It was a typical “solution looking for a problem.” Among the early applications was the surgical stitching of detached retinas. Half a century later, The Economist asked Charles Townes, the alleged inventor of the laser, if he had had retinas on his mind. He had not. He was satisfying his desire to split light beams, and that was that. In fact, Townes’s colleagues teased him quite a bit about the irrelevance of his discovery. Yet just consider the effects of the laser in the world around you: compact disks, eyesight corrections, microsurgery, data storage and retrieval—all unforeseen applications of the technology.* We build toys. Some of those toys change the world. Keep

As we shall see, technology’s increasing inability to predict the future – whether that’s the fluctuating markets of digital stock exchanges, the outcomes and applications of scientific research, or the accelerating instability of the global climate – stems directly from these misapprehensions about the neutrality and comprehensibility of computation.

Computational thinking is an extension of what others have called solutionism: the belief that any given problem can be solved by the application of computation. Whatever the practical or social problem we face, there is an app for it. But solutionism is insufficient too; this is one of the things that our technology is trying to tell us. Beyond this error, computational thinking supposes - often at an unconscious level - that the world really is like the solutionists propose. It internalizes solutionism to the degree that it is impossible to think or articulate the world in terms that are not computable. Computational thinking is predominant in the world today, driving the worst trends in our society and interactions, and must be opposed by a real systemic literacy. If philosophy is that fraction of human thought dealing with that which cannot be explained by the sciences, then systemic literacy is the thinking that deals with a world that is not computable, while acknowledging that it is irrevocably shaped and informed by computation. The weakness of 'learning to code' alone might be argued in the opposite direction too: you should be able to understand technological systems without having to learn to code at all, just as one should not need to be a plumber to take a shit, nor to live without fear that your plumbing might be trying to kill you. The possibility that your plumbing system is indeed trying to kill you should not be discounted either: complex computational systems provide much of the infrastructure of contemporary society, and if they are not safe for people to use, no amount of education in just how bad they are will save us in the long run.

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