Research & Projects
What makes NARS different from conventional reasoning systems is its ability to learn from its experience and to work with insufficient knowledge and resources.
[Source: ibmbusinessanalytics via YouTube] IBM’s most promising medical student just graduated and is ready to join the workforce and help people – in the fight against cancer, to be specific. IBM has just released a commercially available Watson whose cognitive computing could help doctors make better diagnoses and smarter treatment choices. IBM has partnered with WellPoint, Inc. and Memorial Sloan-Kettering Cancer Center to train Watson in oncology and utilization management. A team of clinicians and technicians spent thousands of hours “teaching” Watson how to process, analyze, and interpret complex clinical information through natural language processing. The hope is that Watson can help raise the quality of healthcare and make it more efficient.
IBM says it is possible to build a new computing architecture that is more human-like and biologically inspired than traditional systems. After a year of “medical school”, IBM’s intelligent supercomputer, Watson, has produced its first commercially available applications for doctors and health insurance companies. Now that Watson is proving itself in the medical field, the door is being flung open for other industries and a new era of cognitive computing.
Time/location: Lectures: Tue/Thu 9-10:15am in NVIDIA Auditorium Sections: will happen based on need; see calendar Office hours: see calendar
(ISNS) -- A single equation grounded in basic physics principles could describe intelligence and stimulate new insights in fields as diverse as finance and robotics, according to new research. Alexander Wissner-Gross, a physicist at Harvard University and the Massachusetts Institute of Technology, and Cameron Freer, a mathematician at the University of Hawaii at Manoa, developed an equation that they say describes many intelligent or cognitive behaviors, such as upright walking and tool use. The researchers suggest that intelligent behavior stems from the impulse to seize control of future events in the environment. This is the exact opposite of the classic science-fiction scenario in which computers or robots become intelligent, then set their sights on taking over the world.
(Phys.org) —An ambitious new paper published in Physical Review Letters seeks to describe intelligence as a fundamentally thermodynamic process. The authors made an appeal to entropy to inspire a new formalism that has shown remarkable predictive power. To illustrate their principles they developed software called Entropica, which when applied to a broad class of rudimentary examples, efficiently leads to unexpectedly complex behaviors.
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Quantum computing took a giant leap forward on the world stage today as NASA and Google, in partnership with a consortium of universities, launched an initiative to investigate how the technology might lead to breakthroughs in artificial intelligence. The new Quantum Artificial Intelligence Lab will employ what may be the most advanced commercially available quantum computer, the D-Wave Two , which a recent study confirmed was much faster than conventional machines at defeating specific problems (see “ D-Wave’s Quantum Computer Goes to the Races, Wins ”). The machine will be installed at the NASA Advanced Supercomputing Facility at the Ames Research Center in Silicon Valley and is expected to be available for government, industrial, and university research later this year. Google believes quantum computing might help it improve its Web search and speech recognition technology.
The field of artificial-intelligence research (AI), founded more than 50 years ago, seems to many researchers to have spent much of that time wandering in the wilderness, swapping hugely ambitious goals for a relatively modest set of actual accomplishments. Now, some of the pioneers of the field, joined by later generations of thinkers, are gearing up for a massive “do-over” of the whole idea. This time, they are determined to get it right — and, with the advantages of hindsight, experience, the rapid growth of new technologies and insights from the new field of computational neuroscience, they think they have a good shot at it.
Knowledge-exchange between robots The RoboEarth project targets at building a “World Wide Web for Robots” where robots with their programmers can collectively build “action recipes”. These libraries of action recipes that are shared between robots will drastically reduce the efforts for building new robot applications. Within the RoboEarth project, our group investigates the knowledge representation and processing mechanisms for uploading, exchanging, downloading and applying action recipes.
Hal from 2001: A Space Odyessy . Famed AI researcher and incorrigible singularity forecaster Ray Kurzweil recently shed some more light on what his new job at Google will entail. It seems that he does, indeed, plan to build a prodigious artificial intelligence, which he hopes will understand the world to a much more sophisticated degree than anything built before–or at least that will act as if it does. Kurzweil’s AI will be designed to analyze the vast quantities of information Google collects and to then serve as a super-intelligent personal assistant.
Ray Kurzweil’s next book — How to Create a Mind: The Secret of Human Thought Revealed * — will be published Nov. 13, Viking announced today. It can now be pre-ordered. In the book, Kurzweil explores the most important science project since the human genome: reverse-engineering the brain to understand precisely how it works, then applying that knowledge to create vastly intelligent machines. Drawing on the most recent neuroscience research, compelling thought experiments, and his own research and inventions in artificial intelligence, he describes his new theory of how the neocortex (the thinking part of the brain) works: as a self-organizing hierarchical system of pattern recognizers.
How to Create a Mind: The Secret of Human Thought Revealed is a non-fiction book about brains , both human and artificial, by inventor and futurist Ray Kurzweil . First published in hardcover on November 13, 2012 by Viking Press [ 1 ] it became a New York Times Best Seller. [ 2 ] It has received attention from The Washington Post , The New York Times and The New Yorker . Kurzweil describes a series of thought experiments which suggest to him that the brain contains a hierarchy of pattern recognizers. Based on this he introduces his Pattern Recognition Theory of Mind. He says the neocortex contains 300 million very general pattern recognition circuits and argues that they are responsible for most aspects of human thought . Kurzweil then explains that a computer version of this design could be used to create an artificial intelligence more capable than the human brain.
Computers are great at treating words as data: Word-processing programs let you rearrange and format text however you like, and search engines can quickly find a word anywhere on the Web. But what would it mean for a computer to actually understand the meaning of a sentence written in ordinary English — or French, or Urdu, or Mandarin?
ConceptNet aims to give computers access to common-sense knowledge , the kind of information that ordinary people know but usually leave unstated. The data in ConceptNet is being collected from ordinary people who contributed it on sites like Open Mind Common Sense . ConceptNet represents this data in the form of a semantic network, and makes it available to be used in natural language processing and intelligent user interfaces.