Breakthroughs in technology are typically attributed to a single lone genius, but research led by DeepMind scientist Thore Graepel suggests the full power of AI will be unleashed through a collective approach of multi-agents. The UCL machine learning professor helped create AlphaGo, which pursued a...
As Hollywood events go, there are few more congratulatory than film festival awards ceremonies, where everyone wants to cheer for the Next Big Thing before they get huge. Yet, at this year's Sundance Film Festival, the biggest applause at the awards show wasn't for a director or actor--it was for Ra...
Our understanding of the universe is poised to progress at warp speed, thanks to new research by scientists at the National Center for Supercomputing Applications at the University of Illinois, Urbana-Champaign. The NCSA scientists are pioneering the use of GPU-accelerated deep learning to detect a...
Insights into the new computing model DEEP LEARNING TOP 5 October 6, 2017 DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI) AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES… TOP 5 1. Gartner releases the top 10 strategic technology trends for 2018 2. Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure 3. Chemistry and physics Nobel Prizes awarded to teams supported by GPUs 4. MIT uses deep learning to help guide decisions in ICU 5. Portfolio management firms are using AI to seek alpha GARTNER RELEASES THE TOP 10 STRATEGIC TECH TRENDS FOR 2018 Gartner, Inc. announced its top strategic tech trends and predictions at the 2017 Gartner Symposium this week. "The first three strategic tech trends explore how AI and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years. READ ARTICLE ORACLE ADDS GPU ACCELERATED COMPUTING TO ORACLE CLOUD INFRASTRUCTURE Oracle announced at Oracle OpenWorld this week it is now offering NVIDIA's P100 GPU instances in its public cloud, with plans to add the more powerful V100 GPUs in the near future. "This is the first time Oracle has offered access to GPU acceleration, reflecting an industry-wide move to provide access to cloud hardware optimized for artificial intelligence and machine learning.
As we move into 2018, the monthly Datasets Publishing Awards has concluded. We're pleased to have recognized many publishers of high-quality, original, and impactful datasets. It was only a little over a year ago that we opened up our public Datasets platform to data enthusiasts all over the world to share their work. We've now reached almost 10,000 public datasets, making choosing winners each month a difficult task! These interviews feature the stories and backgrounds of the November and December winners of the prize.
Not everyone agrees that AI will be such a bad thing, however. Research firm Gartner, for instance, said in a recent report that AI could in fact create 2.3 million jobs by 2020, exceeding the 1.8 million that it could wipe out. Shiller, who won the Nobel Prize for Economics in 2013 for his work on asset prices and inefficient markets, said he advocated some kind of "livelihood insurance" to mitigate against the potential loss of jobs or drop in incomes that AI could cause. "I think that people are facing career risks like never before and what I've advocated in the book'Finance and the Good Society' is that I think we should think about some kind of insurance program for individuals and their careers, and to prevent inequality from just running its course," he said.
We have decided to give an award for the silliest arguments against AI published each year. The Simon Newcomb Awards, as they are called, will be announced here in the AI Magazine. Winners will be presented with a small statue (informally referred to as a'Simon') in a short ceremony at a suitable national gathering. We invite nominations for future awards. He combined a solid confidence in his own reasoning with a disdain for practical experiments. In many ways his arguments are similar to recent attacks on AI. They are short, elegant, convincing to his contemporaries, utterly wrong, and wonderfully silly, displaying an appealing mixture of partial insight with a failure to really comprehend what he was talking about. For example, there was the Stopping Problem argument. "Imagine the proud possessor of the aeroplane," suggested Newcomb sarcastically, "darting through the air at a speed of several hundred feet per second! It is the speed alone that sustains him. How is he ever going to stop?" (Newcomb, 1901). Newcomb intended his question rhetorically, but as everyone now knows, it has a perfectly good answer: "Very carefully." The Simon Newcomb Award will be given in recognition of a similarly silly published argument against AI, especially when the writer's confidence in his views seems to arise from his ignorance of the subject. The ideal candidate is an eminent scientist or scholar in some other field -- for example, a philosopher, sociologist or mathematician -- who clearly fails to grok some basic idea of computer science. While any published argument may be nominated for the prize, the committee gives highest credit to arguments which are not just idiotic, but which use some technical issue in a way that displays some, but not enough, insight. Some argument forms are already judged unacceptable, includthan they are now, or that people would be somehow reduced in status. The award is to be given for a specific argument, so that (just as with the Academy awards) a true star might receive a'Simon' for each of several outstanding performances. We also expect to award the occasional'Lifetime Achievement Award' in recognition of an entire career of silly attacks on the subject. Popular nominees (those supported by several submissions) will be announced at the same time as the Award winners. Those who are nominated but not selected for an Award may take solace in knowing that the nomination itself is a high honor. The nominees for the first Simon Newcomb Award were, Selmer Bringsjord, Harry Collins, Hubert Dreyfus, Gerald Edelman, Walter Freeman, Roger Penrose, Joseph Rychlak, John Searle, and Maurice Wilkes. In the future, only one award will normally be made each year, but for this inaugural occasion, we are proud to announce four winners, in alphabetical order.
Deep Blue beat world chess champion Gary Kasparov in the final game of a tied, six-game match last May 11. Kasparov had beaten the machine in an earlier match held in February 1996. The Fredkin Prize was awarded under the auspices of AAAI; funds had been held in trust at Carnegie Mellon University. The Fredkin Prize was originally established at Carnegie Mellon University 17 years ago by Massachusetts Institute of Technology Computer Science Professor Edward Fredkin to encourage continued research progress in computer chess. The first award of $5,000 was given to two scientists from Bell Laboratories who in 1981 developed the first chess machine to achieve master status.
It was written not by a human being, but by my computer program EWI (an acronym for "experiments in writing intelligence"). EWI was fed the texts of two of Hofstadter's books--namely, Gödel, Escher, Bach (winner of the Pulitzer Prize for General Nonfiction in 1980) and Metamagical Themas--and then, following its code, EWI carefully analyzed these two books for their uniquely Hofstadterian stylistic elements and features, after which it recombined these stylistic elements in new fashions. EWI thereby came up with some 25 new and highly diverse "Hofstadter articles," one of which is given below, and the article is followed by a brief commentary about EWI and its output by Hofstadter himself. Actually, I should state up front that the wonderful sparkling dialogues of GEB, which are a substantial part of that book, were not used by EWI in generating any of the articles, because EWI is unfortunately not yet able to work with inputs that belong to different genres, such as chapters and dialogues. To combine stylistic aspects of two or more different genres of writing represents a very thorny challenge indeed.
Trustees to honor senior scientists in artificial intelligence for contributions and service to the field during their careers. The Award carries a stipend of $1,000 and covers expenses of the recipient's attendance at Distinguished Service Award; the first was presented to Bernard Meltzer in 1979. Arthur Samuel is one of the pioneeers in AI. His checkers program was the earliest high-performance AI system, and his work on machine learning is a classic in the field.