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

Blu Studio Energy - Moving Apps to SD Card - Insufficient Storage

We recently discovered the Blu Studio Energy. It's an Android phone with 1GB RAM, 8GB internal storage, and a 5000mAh battery for $150 off contract:

Overall, it's an amazing phone for the price, but we did have to work around one major issue. We could not move any apps to the 64GB microSD card that we purchased with the phone.

Not much to see here. Move along.

I've admittedly not done much with this site for the past few years, but it's still here, which is more than can be said of most other "Millennial" AI news sites/blogs.

In 2010, I started a Twitter feed and occasionally post interesting-ish AI links there. A few weeks ago I integrated the Twitter feed into the block at the top-left of this site.

On December 26th, 2014, I finally released a 1.0 version of EBLA, which utilizes H2 rather than PostgreSQL as the backend database. I now plan to migrate the video processing and computer vision code to OpenCV. I'm also toying with the idea of rebuilding an old Evolution Robotics ER-1 robot using a Raspberry Pi and a first generation Kinect. If successful, I'd like to build a knowledge acquisition system for the robot based on EBLA. We'll see.

EBLA 1.0 Released

After roughly 10 years of passive tinkering, I'm pleased to announce a 1.0 release of EBLA:

The primary enhancement is that EBLA now utilizes the embedded H2 database rather than PostgreSQL. This greatly simplifies the procedure to get up and running.

Other enhancements include support for Java 1.7 conventions and a more robust UI.

More information regarding this release is available here

How your brain picks the best move

If you have a knack for knowing just the right move to make — in a board game or in other walks of life — it might be because your brain has built up a special kind of connection. Researchers at Japan's RIKEN Brain Science Institute report evidence that the professional players of a chesslike board game from Japan, known as shogi, have brains that crackle with activity in two areas that are less active in amateurs. Their findings are published in this week's issue of the journal Science.

Researchers develop interactive, emotion-detecting GPS robot

While computer systems are now very capable of recognizing vocal input, they offer minimal interactive feedback. A team of Cambridge University researchers have now developed a system that can not only detect a user's emotional state, but can also make expressive responses of its own. Using a robotic likeness of the godfather of the programmable computer, Charles Babbage, the team has hooked the system up to a driving simulator and created a computerized driving companion and navigator that reacts to the driver in much the same way as a human passenger.

Read more here.

How You Become the Controller

"You are the controller." If you've been following the buzz surrounding Kinect, you've probably heard this phrase tossed around. From plugging leaks with your hands and feet inKinect Adventures! to changing songs with the flick of a wrist in Zune, Kinect opens up a new way to naturally experience your entertainment. But once you get over the magic of opening the disc tray with the wave of a hand like you're a Jedi, you might start to wonder how it all works under the hood. In this blog post, I'll focus on the secret sauce behind the human tracking system and how it allows game developers to produce Kinect-enabled experiences. Then Arjun Dayal, a program manager on the team, will show you how Kinect enables a gesture-based approach to navigating the Xbox Dashboard and Kinect Hub. But before we get into any of that, let’s start with the conceptual principles that guided Kinect’s development.

A wiki for Computational Linguistics

The ACL has created a new wiki specifically for Computational Linguistics: The purpose of this wiki is to facilitate the sharing of information on all aspects of Computational Linguistics. Wikipedia contains some excellent articles on Computational Linguistics, but the mandate of Wikipedia is to be an encyclopedia. This means that Wikipedia articles must be written for a general audience, not for specialists. It also means that content such as job ads and course outlines is not suitable for Wikipedia. Therefore this new wiki was created to fill a role that Wikipedia cannot fill.

Read more here.

Could self-aware cities be the first forms of artificial intelligence?

The cities of the future will be huge and super-dense — but will they also be alive? Could the increasingly complex systems needed to manage the next generation of megacities become our first true artificial intelligence? People have speculated before about the idea that the Internet might become self-aware and turn into the first "real" A.I., but could it be more likely to happen to cities, in which humans actually live and work and navigate, generating an even more chaotic system?

Read more here.

Scientists Develop Brain-Microchip Bridge

"Canadian scientists have developed a microchip capable of monitoring the electrical and chemical communication channels between individual neurons. This is the first time scientists have been able to monitor the interaction between brain cells on such a precise and subtle level. In addition to providing the ability to see more easily the impact of drugs on various mental disorders during testing, this provides one of the first fundamental steps towards real mind-machine interface."

Read more here.

Natural Language Processing Tool for Bioinformatics

Led by Professor Victor Maojo, a team of researchers from the GIB (including Guillermo de la Calle, Miguel Garcia-Remesal, Diana de la Iglesia, and Stefano Chiesa) have developed an innovative methodology designed to discover, retrieve, and automatically classify bioinformatic resources from specialized scientific literature. The developed index of resources is freely available via the web application BioInformatics Resource Inventory (BIRI). The methodology is based on natural language processing and artificial intelligence techniques used to retrieve and automatically classify key information contained in scientific articles — primarily abstracts. Each article is analyzed morphologically, syntactically, and semantically in search of a series of set patterns that are able to automatically identify the names, functionality, access URL, and in some cases, the resource inputs and outputs without user intervention.
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