Cover was a man of remarkable breadth in his research interests, making landmark contributions in fields ranging from information theory and mathematical statistics to data compression, pattern recognition and stock market investment strategies. Thomas Cover, one of the world's top information theorists and a professor of electrical engineering and of statistics at Stanford University, died March 26 at Stanford Hospital at the age of 73. "A senior colleague at MIT often referred to Tom Cover as'the jewel in Stanford's crown.' He certainly was," said Abbas El Gamal, professor of electrical engineering. "Not only was he one of the greatest information theorists since Claude Shannon (and the one most like Shannon in approach, clarity, and taste), but he was also one of Stanford's most inspiring teachers and mentors. "I am truly privileged to have been his student, colleague, and friend for the past 37 years.

If you've never used an object-oriented programming language before, you'll need to learn a few basic concepts before you can begin writing any code. This lesson will introduce you to objects, classes, inheritance, interfaces, and packages. Each discussion focuses on how these concepts relate to the real world, while simultaneously providing an introduction to the syntax of the Java programming language. An object is a software bundle of related state and behavior. Software objects are often used to model the real-world objects that you find in everyday life.

On a summer day four years ago, a Stanford University computer-science professor named Andrew Ng held an unusual air show on a field near the campus. His fleet of small helicopter drones flew under computer control, piloted by artificial-intelligence software that could teach itself to fly after watching a human operator. By the end of the day, the copters were hot-dogging--flipping, rolling, even hovering upside down. It was a milestone for the field of "machine learning," the same area of artificial intelligence that lets Amazon recommend books based on a shopper's previous habits and helps Google tailor search results to a user's behavior. Mr. Ng and his team of graduate students showed that artificial-intelligence software could control one of the hardest-to-maneuver vehicles and keep it stable while flying at 45 miles an hour.

This book constitutes the refereed proceedings of the Second International Workshop on Intelligent Agents for Telecommunication Applications, IATA'98, held in Paris, France, in July 1998, in conjunction with the 1998 Agents World Conference. The book presents 17 revised full papers carefully selected for inclusion in the volume. The book is divided into topical sections on network architecture, network configuration and planning, network optimization, network management, agent-based architectures for service applications.

Tony Tether has headed up the Pentagon's way-out research arm, Darpa, since 2001. That makes him the longest-serving director in the agency's nearly 50-year history. He sat down with me for an interview in his office, on the top floor of a blandly menacing Northern Virginia office building, last December. For my story in the March issue of Wired (online next Tuesday), Tether and I talked about everything from bio-terrorists to zombie rodents to thinking machines to the golf courses in Iraq. Let's start with the big picture and talk a little bit about 9/11 -- it'?s been five years now -?-? and how, obviously, that has affected defense research hugely. What do you see as Darpa's big contributions to the war on terror? What do you think has been contributed so far, and what do you think is on the horizon that might be the most valuable? Tony Tether: We have several efforts in use in Iraq and Afghanistan today. There's been somewhat of a misunderstanding that when 9/11 unfolded that Darpa suddenly turned totally toward supplying things for the war. Now, of course, the war made us a great deal more interested in trying to find out what the issues and problems were over there so that we could develop programs along that line. Those programs are long-range and, for the most part, they'?re things that won't really come to fruition for several years. On the other hand, Darpa had started many things in the '90s, because we've been looking at this global terrorist war since probably 1994. At that time we called it the transnational threat –?? you know, a threat without a country. At the same time, there was a great push to look at the way our forces were developed and move them from huge divisions, force on force, to small units of action, back to the squad… As it turned out, 2001 came and we went into war in both Afghanistan and Iraq, and, after the major conflict in Iraq, really small units became the way we were orchestrating that war. And it was probably that way from the very beginning in Afghanistan. So the technologies that we have been developing for four or five years, some of them were already ready to go. TT: One of the major things we knew a small unit would need, especially in a city, was situational awareness. So we developed â?? we already had been developing -- a small platform that we call Wasp.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Free Online AI course, Berkeley's CS 188, offered through edX. Free Online AI course, Berkeley's CS 188, offered through edX.

Telenor Group's Research arm today publishes the key global Tech Trends identified for the coming year. The search to digitize activities in our daily lives and in business will only accelerate now that technological platforms are maturing and moving into test mode. "Last year we highlighted several important developing trends and predicted that these would gain speed and attention during the year. IoT is on our list again for 2017, but we also claim that social media fatigue could be starting to appear, that chatbots are hot, that 5G will show itself in demos and pilot installations long before the standard is ready, and that the ethics of AI will be a hot topic," says Bjørn Taale Sandberg, Head of Telenor Research. The trends were identified through observations, patterns and supporting data from the continuous research conducted by Telenor's scientists in select expert fields.

Artificial intelligence (AI) has officially gone mainstream. Industry expert, Gartner, named AI as its number one strategic technology for a second year in a row. The acquisitions race among giants like Google, IBM, Salesforce and Apple to purchase private AI companies keeps heating up - 2016 alone saw 40 AI-related acquisitions and our own research found that 62% of large enterprises will be using AI-technologies by 2018. Since everyone seems to be talking about AI broadly, we focused our predictions this year on what we see happening with communications and AI. As a leader in this area, Narrative Science is working with enterprises to close the communication gap between man and machine.

B2B marketing executives say artificial intelligence (AI) will have a significant impact on their marketing efforts in the next five years, but most say they still do not have a firm understanding of the technology, according to recent research from Demandbase. The report was based on data from a survey of 500 B2B marketing executives who work for firms with 250 or more employees. Some 80% of respondents say AI will revolutionize marketing by 2020. However, only 26% of respondents say they are very confident they understand how AI is used in marketing, and only 10% say their company is using AI as part of its marketing efforts. B2B marketing executives expect the top challenges of AI will be integrating it into their existing systems/technologies (60% cite it as an issue) and training employees on how to use it (54%). Respondents say they will judge the success of AI by its ability to generate better sales close rates (59% cite it as an indicator of success), increase revenue (58%), improve digital traffic/engagement (54%), and convert more leads (52%).