If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
But while his peer scientists Yann LeCun and Geoffrey Hinton have signed on to Facebook and Google, respectively, Bengio, 53, has chosen to continue working from his small third-floor office on the hilltop campus of the University of Montreal. Shum, who is in charge of all of AI and research at Microsoft, has just finished a dress rehearsal for next week's Build developers conference, and he wants to show me demos. Shum has spent the past several years helping his boss, CEO Satya Nadella, make good on his promise to remake Microsoft around artificial intelligence. Bill Gates showed off a mapping technology in 1998, for example, but it never came to market; Google launched Maps in 2005.
This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning's explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. In Part Two, I surveyed significant developments in Open Source machine learning projects, such as R, Python, Spark, Flink, H2O, TensorFlow, and others. In this installment, we will review the machine learning and deep learning initiatives of Big Tech Brands -- industry leaders with big budgets for software development and marketing. It has a unique business model and falls into its own category.
Most AI computing happens in data centers packed with hundreds or thousands of servers. Get ready for AI to show up where you'd least expect it. In 2016, tech companies like Google, Facebook, Apple and Microsoft launched dozens of products and services powered by artificial intelligence. Next year will be all about the rest of the business world embracing AI. Artificial intelligence is a 60-year-old term, and its promise has long seemed like it was forever over the horizon.
As part of the research underpinning Developer Economics we actively monitor industry trends and opportunities, looking for new areas of significant developer interest. In our Developer Economics survey, we invested in trends in Data Science and Machine Learning among other areas of emerging tech- the latter probably being the least hyped emerging tech space with the most developer activity. A side effect of there now being a 1990s level supercomputer in 2 3 billion pockets worldwide is that we're drowning in data. All of the data collected in human history, up to the turn of the millennium, is certainly less than we now generate every day. The Internet of Things is adding sensors to anything and everything, which will compound this problem.
Microsoft's continued investment in artificial intelligence and machine learning technology is paying dividends. The company has partnered with OpenAI, a non-profit company founded earlier this year to advance the field of machine intelligence for the benefit of humanity. As part of the deal, announced Tuesday, OpenAI will use Microsoft Azure as its primary cloud provider, an important win for Microsoft as it competes with the likes of Amazon, Google, and IBM to power the next generation of intelligent applications. OpenAI is backed by the likes of Tesla CEO Elon Musk, controversial investor Peter Thiel, LinkedIn co-founder Reid Hoffman, and Y Combinator Partner Jessica Livingston. On top of that, Microsoft also launched a set of cloud services all aimed at furthering intelligent applications.
Just over five years ago, IBM's Watson supercomputer crushed opponents in the televised quiz show Jeopardy. It was hard to foresee then, but artificial intelligence is now permeating our daily lives. Since then, IBM has expanded the Watson brand to a cognitive computing package with hardware and software used to diagnose diseases, explore for oil and gas, run scientific computing models, and allow cars to drive autonomously. The company has now announced new AI hardware and software packages. The original Watson used advanced algorithms and natural language interfaces to find and narrate answers.
Computing was some pretty exciting stuff for those of us back in the 80s who still remember the first time we booted up our 386DX. That's right, the "DX", not the "MX". While nobody could really say what the advantages of the "DX" were, better at math or something, we still ponied up the extra $200 USD to pick up that 386DX 16Mhz along with a Super VGA graphics card, then hooked that bad boy up to CompuServe via our lightning fast 14,400 baud U.S. Robotics "Sportster" modem. That was well before Al Gore created the Internet, and a lot has changed since then. Personal computing just isn't cool anymore and it's all about "the cloud" and "big data" and "deep learning".
You'd get a book that contained paragraphs with key words missing, replaced with hints as to what might fill the blanks. You and your friends would come up with silly words to complete the sentences, with predictably hilarious results. Well, it's time for some Gartner Mad Libs. For this game, the same word belongs in all the blanks. See if you can figure out what the missing word is (here's the source if you can't resist peeking).
ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "Dell and Mellanox are long-time partners, delivering Dell HPC Systems utilizing Mellanox InfiniBand, including the recently announced one petaflops system at the Center for High Performance Computing in South Africa," said Jim Ganthier, vice president and general manager, Engineered Solutions, HPC and Cloud, Dell.
Cloud savings don't all go to the bottom line. Cloud is the first step in this decade's change process. Companies move files to the cloud because it costs less, and scales better. They enable development of apps that are instantly available to all users. This is great for the users, for the cloud operators, and for the companies with app development environments.