GreatMindsWorking.com is a site dedicated to news from fields including A.I., computational linguistics, robotics, developmental psychology, machine learning, and cognitive science, with special focus on language-related technologies.

This site also provides information about Experience-Based Language Acquisition (EBLA), the software system that I developed as part of my dissertation research at the LSU Department of Computer Science.

Brian E. Pangburn
May 27, 2003

Google Prediction API

The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google's infrastructure and scale effortlessly as your data grows in size and complexity.

AAAI 2010 Fall Symposia

The Association for the Advancement of Artificial Intelligence is pleased to present the 2010 Fall Symposium Series, to be held Thursday through Saturday, November 11–13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows * Cognitive and Metacognitive Educational Systems * Commonsense Knowledge * Complex Adaptive Systems: Resilience, Robustness, and Evolvability * Computational Models of Narrative * Dialog with Robots * Manifold Learning and Its Applications * Proactive Assistant Agents * Quantum Informatics for Cognitive, Social, and Semantic Processes

Microsoft Shows Off 'Milo' Virtual Human

Microsoft released a video showing off its 'virtual human' technology, named Milo, designed for the company's hands-free Xbox 360 motion controller called Kinect at TED Global in Oxford. Milo is built to react to people's emotions, body movements, and voice, allowing players to interact with the virtual character. It was built using artificial intelligence developed by Lionhead studios, along with undisclosed technology from Microsoft. According to games designer Peter Molyneux, the game exploits psychological techniques to make a person feel that Milo is real. Each Milo character will be unique because every player's interaction with the virtual character will sculpt the type of virtual person Milo will evolve to become.

AI Predicts Manhole Explosions In New York City

Every so often, a 300-pound manhole cover blows sky high in Gotham, followed sometimes by a column of flame and smoke. (There are a few hundred 'manhole incidents' per year in the city, not all of them this dramatic.) Researchers from Columbia University applied machine learning algorithms to Con Edison's warren of aging electrical wires and sewage access points around Manhattan. As the system learns where dangerous mixtures of sewer gas and decrepit wiring are likely to come in contact, it makes forecasts about trouble spots, including where the next explosion may occur. The team has just completed rankings for manholes in Brooklyn and the Bronx, and plans to return to Manhattan's grid, armed with the most recent inspection and repair data.

2010 IEEE Workshop on Spoken Language Technology

The Third IEEE Spoken Language Technology (SLT) Workshop will be held between December 12-15, 2010 in Berkeley, CA. SLT 2010 is co-sponsored by ACL and ISCA. The goal of this workshop is to allow the language processing community to share and present recent advances in various areas of spoken language technology.

Read more here.

At The Extreme Edge Of Artificial Intelligence

Look around and you'll find A.I. applications popping up in a rash of industries, making once labor-intensive tasks--everything from matching hungry shoppers with targeted advertisements to discharging patients from hospitals--far faster and cheaper. As the cost of computing power continues to fall, A.I. will play an ever larger role in society's collective decision making.

Computer automatically deciphers ancient language

In his 2002 book Lost Languages, Andrew Robinson, then the literary editor of the London Times’ higher-education supplement, declared that “successful archaeological decipherment has turned out to require a synthesis of logic and intuition … that computers do not (and presumably cannot) possess.” Regina Barzilay, an associate professor in MIT’s Computer Science and Artificial Intelligence Lab, Ben Snyder, a grad student in her lab, and the University of Southern California’s Kevin Knight took that claim personally. At the Annual Meeting of the Association for Computational Linguistics in Sweden next month, they will present a paper on a new computer system that, in a matter of hours, deciphered much of the ancient Semitic language Ugaritic. In addition to helping archeologists decipher the eight or so ancient languages that have so far resisted their efforts, the work could also help expand the number of languages that automated translation systems

I.B.M.'s Supercomputer to Challenge 'Jeopardy!' Champions

For the last three years, I.B.M. scientists have been developing what they expect will be the world’s most advanced “question answering” machine, able to understand a question posed in everyday human elocution — “natural language,” as computer scientists call it — and respond with a precise, factual answer. In other words, it must do more than what search engines like Google and Bing do, which is merely point to a document where you might find the answer. It has to pluck out the correct answer itself. Technologists have long regarded this sort of artificial intelligence as a holy grail, because it would allow machines to converse more naturally with people, letting us ask questions instead of typing keywords.

Read more here.

Experience shapes the brain's circuitry throughout adulthood

The adult brain, long considered to be fixed in its wiring, is in fact remarkably dynamic. Neuroscientists once thought that the brain's wiring was fixed early in life, during a critical period beyond which changes were impossible. Recent discoveries have challenged that view, and now, research by scientists at Rockefeller University suggests that circuits in the adult brain are continually modified by experience. The researchers, led by Charles D. Gilbert, Arthur and Janet Ross Professor and head of the Laboratory of Neurobiology, observed how neurons responsible for receiving input from a mouse's whiskers shift their relationships with one another after single whiskers are removed. The experiments explain how the circuitry of a region of the mouse brain called the somatosensory cortex, which processes input from the various systems in the body that respond to the sense of touch, can change.

Kid and Baby Robots Get Creepy Emotional Faces

The one thing robots, despite ever-increasing powers, tend not do very well is emote--just think of Asimo's blank face and you'll see what I mean. But here come Noby and M3-Kindy to change that ... and seriously creep you out. The two bots were revealed today by creators the JST Erato Asada Project--a research team dedicated to investigating how humans and robots can better relate
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