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

AI That Picks Stocks Better Than the Pros

The ability to predict the stock market is, as any Wall Street quantitative trader (or quant) will tell you, a license to print money. So it should be of no small interest to anyone who likes money that a new system that works in a radically different way than previous automated trading schemes appears to be able to beat Wall Street's best quantitative mutual funds at their own game

How blind to change are you?

This failure to notice what should be very apparent is something we unconsciously experience every day as our brains filter the barrage of visual information which we are flooded with. And apparently it has a name; it is called change blindness. Scientists at Queen Mary, University of London, have invented a unique spot-the-difference-style computer game in order to study it.

Artificial Intelligence Cracks 4,000 Year-Old Mystery

An ancient script that’s defied generations of archaeologists has yielded some of its secrets to artificially intelligent computers. Computational analysis of symbols used 4,000 years ago by a long-lost Indus Valley civilization suggests they represent a spoken language. Some frustrated linguists thought the symbols were merely pretty pictures. “The underlying grammatical structure seems similar to what’s found in many languages,” said University of Washington computer scientist Rajesh Rao. The Indus script, used between 2,600 and 1,900 B.C. in what is now eastern Pakistan and northwest India, belonged to a civilization as sophisticated as its Mesopotamian and Egyptian contemporaries. However, it left fewer linguistic remains.

Museum Tinguely Addresses Artificial Intelligence and Robotics in New Exhibition

The Museum Tinguely in Basel and Kunsthaus Graz are co organising an exhibition that addresses the subjects of “Artificial Intelligence” and “Robotics”. The title Robot Dreams is borrowed from a short story of the same name by Isaac Asimov, a biochemist and extraordinarily prolific writer of science fiction, in which Elvex, a robot, has to be destroyed becaus

Twenty-Fourth Conference on Artificial Intelligence

AAAI is delighted to announce that the Twenty-Fourth AAAI Conference on Artificial Intelligence will be held at the Westin Peachtree Plaza in Atlanta, Georgia, USA, July 11–15, 2010. Please mark your calendars now for AAAI-10, and feel free to contact us at aaai10@aaai.orgwith any inquiries.  Read more here.

Long Overdue Update on was created in 2001 as an AI blog with an emphasis on Human Language AI. Entries were made on a fairly regular basis until about 2006 and then dwindled. The site was upgraded from PostNUKE to Drupal in mid 2009, but I never quite got around to configuring Drupal properly or adding much new content.

Software Describes Surveillance Footage In AI

"A computer vision research group at UCLA has put together a system that watches surveillance footage and generates a text description of the events in real time. It only works on traffic cameras for now but demonstrates how sophisticated computer vision is becoming. Interestingly, the system was built thanks to a database of millions of human-labeled images put together by Chinese workers."

Read more here.

Recognizing Scenes Like the Brain Does

"Researchers at the MIT McGovern Institute for Brain Research have used a biological model to train a computer model to recognize objects, such as cars or people, in busy street scenes. Their innovative approach, which combines neuroscience and artificial intelligence with computer science, mimics how the brain functions to recognize objects in the real world. This versatile mo

Machine Transistor Devised

"Man and machine can now be linked more intimately than ever, according to a new article in the journal ACS Nano Letters. Scientists have embedded a nano-sized transistor inside a cell-like membrane and powered it using the cell's own fuel. To create the implanted circuit, the UC scientists combined a carbon nanotube transistor, lipid bilayer coating, ion pump, and ATP. The ion

Anybots Robot Will Go to the Office for You

Robots have replaced humans on assembly lines, battlefields, space missions and rescue operations. Now how about doing something useful, like sitting through endless meetings for you?
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