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	<title>AI News</title>
	<link>http://ai-depot.com/news</link>
	<description>News and discussion for the artificial intelligence enthusiast.</description>
	<pubDate>Wed, 25 Jul 2007 14:58:58 EDT</pubDate>
	<language>en</language>
	<atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="self" href="http://feeds.feedburner.com/AiNews" type="application/rss+xml" /><feedburner:emailServiceId xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0">AiNews</feedburner:emailServiceId><feedburner:feedburnerHostname xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0">http://feedburner.google.com</feedburner:feedburnerHostname><item>
		<title><![CDATA[Software Finds Learning Language Child's Play]]></title>
		<link>http://ai-depot.com/news/story/Software-Finds-Learning-Language-Childs-Play/</link>
		<comments>http://ai-depot.com/news/story/Software-Finds-Learning-Language-Childs-Play/</comments>
		<pubDate>Wed, 25 Jul 2007 14:58:58 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Software-Finds-Learning-Language-Childs-Play/</guid>
		<description><![CDATA[A computer program that learns to decode language sounds in a similar way to a baby could shed new light on how humans acquire the ability to talk. It casts doubt on the idea that babies are born with an innate understanding of all possible language sounds.<br/><br/>The debate in language acquisition is around how much specific information about language is hard-wired into the brain of the infant, and how much is something that can be explained by relatively general purpose learning systems. ]]></description>
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	<item>
		<title><![CDATA[What Would You do With 80 Cores?]]></title>
		<link>http://ai-depot.com/news/story/What-Would-You-do-With-80-Cores/</link>
		<comments>http://ai-depot.com/news/story/What-Would-You-do-With-80-Cores/</comments>
		<pubDate>Fri, 13 Jul 2007 12:39:37 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>blog post</category>
		<guid>http://ai-depot.com/news/story/What-Would-You-do-With-80-Cores/</guid>
		<description><![CDATA[An Intel developer discussed model-based computing, and how this relates to multi-core architectures.<br/><br/>&quot;Like the human brain itself, these intelligent applications lend themselves to parallel processing. 80-cores would change the game in a broader sense than just hardware - it will enable new application possibilities.&quot; ]]></description>
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	<item>
		<title><![CDATA[Apply AI 2007 Roundtable Report]]></title>
		<link>http://ai-depot.com/news/story/Apply-AI-2007-Roundtable-Report/</link>
		<comments>http://ai-depot.com/news/story/Apply-AI-2007-Roundtable-Report/</comments>
		<pubDate>Mon, 09 Jul 2007 09:12:52 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>blog post</category>
		<guid>http://ai-depot.com/news/story/Apply-AI-2007-Roundtable-Report/</guid>
		<description><![CDATA[The Apply AI Innovations 2007 conference drew together programmers from the games industry, students and professors from academia. The AI in games roundtable covered topics such as intelligent replanning, learning AI, debugging strategies, and opinions on current tools. ]]></description>
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	<item>
		<title><![CDATA[Artificial General Intelligence: Now Is the Time]]></title>
		<link>http://ai-depot.com/news/story/Artificial-General-Intelligence-Now-Is-Time-1/</link>
		<comments>http://ai-depot.com/news/story/Artificial-General-Intelligence-Now-Is-Time-1/</comments>
		<pubDate>Sun, 08 Jul 2007 15:46:45 EDT</pubDate>
		<dc:creator>Gabriel</dc:creator>
		<category>interview</category>
		<guid>http://ai-depot.com/news/story/Artificial-General-Intelligence-Now-Is-Time-1/</guid>
		<description><![CDATA[Dr. Ben Goertzel's talk at Google, discussing his own work on the Novamente Cognition Engine, an AGI project based on combining a number of knowledge representations and reasoning and learning techniques into an integrative architecture motivated by complex systems theory, and initially oriented at the control of virtual agents in 3D simulation worlds such as Second Life. ]]></description>
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	<item>
		<title><![CDATA[jKilavuz - a guide in the polygon soup]]></title>
		<link>http://ai-depot.com/news/story/jKilavuz--guide-in-polygon-soup-1/</link>
		<comments>http://ai-depot.com/news/story/jKilavuz--guide-in-polygon-soup-1/</comments>
		<pubDate>Mon, 25 Jun 2007 08:38:14 EDT</pubDate>
		<dc:creator>raft</dc:creator>
		<category>library</category>
		<guid>http://ai-depot.com/news/story/jKilavuz--guide-in-polygon-soup-1/</guid>
		<description><![CDATA[First public version of jKilavuz is released.<br/><br/>jKilavuz is a path engine for Java. It consists of an extensible set of tools for collecting pathfind data and finding and executing paths. Despite the complexness of subject it is designed for ease of use. ]]></description>
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	<item>
		<title><![CDATA[Neural Network Creates Music CD]]></title>
		<link>http://ai-depot.com/news/story/Neural-Network-Creates-Music-CD/</link>
		<comments>http://ai-depot.com/news/story/Neural-Network-Creates-Music-CD/</comments>
		<pubDate>Wed, 20 Jun 2007 17:31:07 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Neural-Network-Creates-Music-CD/</guid>
		<description><![CDATA[Computers have composed music before, but those efforts were little more than high-tech mixed tapes. Most computer composers have been taught rules of music through extensive programming or by breaking down works of human musicians and creating new pieces from the parts.<br/><br/>Instead, these Creativity Machine are untrained artificial intelligence computer known as a neural network. The neurons in the computer brain are mathematical entities instead of brain cells. The creative process starts by tweaking the mathematical connections between the neurons. That set off a cascade of calculations that were translated as sounds. ]]></description>
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	<item>
		<title><![CDATA[Decision Making for Medical Support]]></title>
		<link>http://ai-depot.com/news/story/Decision-Making-Medical-Support/</link>
		<comments>http://ai-depot.com/news/story/Decision-Making-Medical-Support/</comments>
		<pubDate>Wed, 13 Jun 2007 19:04:25 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Decision-Making-Medical-Support/</guid>
		<description><![CDATA[In April, the two-year-old RHIO began offering a clinical decision-support service through ActiveHealth Management, a New York-based company. ActiveHealth's CareEngine technology compares patients' medical, pharmacy and laboratory claims against established standards of care. It then notifies a physician if it finds an opportunity to improve a patient's treatment.<br/><br/>For example, CareEngine can alert physicians to potential adverse drug interactions, overlooked lab tests or the availability of beneficial drugs, according to ActiveHealth. ]]></description>
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	<item>
		<title><![CDATA[Interview with Peter Denning on the Principles of Computing]]></title>
		<link>http://ai-depot.com/news/story/Interview-with-Peter-Denning-on-Principles-Computing/</link>
		<comments>http://ai-depot.com/news/story/Interview-with-Peter-Denning-on-Principles-Computing/</comments>
		<pubDate>Thu, 07 Jun 2007 11:00:18 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>interview</category>
		<guid>http://ai-depot.com/news/story/Interview-with-Peter-Denning-on-Principles-Computing/</guid>
		<description><![CDATA[A computing visionary and leader of the movement to define and elucidate the &quot;great principles of computing,&quot; Peter J. Denning is a professor at the Naval Postgraduate School in Monterey, California. He is a former president of the ACM.<br/><br/>&quot;&quot;Artificial intelligence (AI) researchers claimed that the mind is a computational process. When they discovered the rules of the process, a computer that followed the same rules would be conscious and intelligent. This claim, often called &quot;strong AI&quot;, is not falsifiable. In the past two decades, mainstream AI has focused on falsifiable claims, such as &quot;a neural net can be trained to read handwritten addresses from postal envelopes.&quot; In the older terminology, this was called 'weak AI', but it has transformed AI into a strong scientific enterprise.&quot;&quot; ]]></description>
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	<item>
		<title><![CDATA[Mining Data for the Netflix Prize]]></title>
		<link>http://ai-depot.com/news/story/Mining-Data--Netflix-Prize/</link>
		<comments>http://ai-depot.com/news/story/Mining-Data--Netflix-Prize/</comments>
		<pubDate>Wed, 06 Jun 2007 18:18:08 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Mining-Data--Netflix-Prize/</guid>
		<description><![CDATA[Last October, Netflix, the online movie rental service, announced that it would award $1 million to the first person or team who can devise a system that is 10 percent more accurate than the company's current system for recommending movies that customers would like.<br/><br/>The contest has also generated several academic papers, Mr. Bennett said. It has turned out to be more exciting than officials expected. ]]></description>
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	<item>
		<title><![CDATA[Pushing the Limits of Game AI Technology]]></title>
		<link>http://ai-depot.com/news/story/Pushing-Limits-Game-AI-Technology/</link>
		<comments>http://ai-depot.com/news/story/Pushing-Limits-Game-AI-Technology/</comments>
		<pubDate>Tue, 05 Jun 2007 17:27:44 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>blog post</category>
		<guid>http://ai-depot.com/news/story/Pushing-Limits-Game-AI-Technology/</guid>
		<description><![CDATA[AIIDE ‘07 starts tomorrow (Artificial Intelligence and Interactive Digital Entertainment), featuring the most cutting edge research in game AI. The proceedings read like a &quot;who's who&quot; in the field, and there's lot to learn from! Here's a collection of highlights from the conference, and references that can be found online. ]]></description>
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	<item>
		<title><![CDATA[Neural Network Learns to Bluff at Poker]]></title>
		<link>http://ai-depot.com/news/story/Neural-Network-Learns-to-Bluff-at-Poker/</link>
		<comments>http://ai-depot.com/news/story/Neural-Network-Learns-to-Bluff-at-Poker/</comments>
		<pubDate>Mon, 04 Jun 2007 09:37:07 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Neural-Network-Learns-to-Bluff-at-Poker/</guid>
		<description><![CDATA[These days, the bots playing poker can't bluff convincingly. &quot;Computers are programmed to perform the best strategy, but bluffing is based on unexpected, illogical actions,&quot; says Evan Hurwitz, a computer scientist at the University of the Witwatersrand in South Africa.<br/><br/>Now Hurwitz and Tshilidzi Marwala, also at Witwatersrand, have developed a virtual player that has taught itself to bluff at a card game called lerpa. Their artificial intelligence bot, named Aiden, is based on a neural network algorithm that usually forecasts stock market fluctuations.<br/><br/>Then the researchers decided to play Aiden against three other similarly trained bots to see what would happen. &quot;They began to develop their own personalities - either aggressive or conservative - depending on their past successes,&quot; ]]></description>
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	<item>
		<title><![CDATA[New Planners Solve Rescue Missions]]></title>
		<link>http://ai-depot.com/news/story/New-Planners-Solve-Rescue-Missions/</link>
		<comments>http://ai-depot.com/news/story/New-Planners-Solve-Rescue-Missions/</comments>
		<pubDate>Sat, 02 Jun 2007 11:41:46 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/New-Planners-Solve-Rescue-Missions/</guid>
		<description><![CDATA[New technology has been used to plan search and rescue operations for the American air force.  The research can be seen as providing a way to combine route planning principles with principles for automatic fault finding. &quot;My research has combined two different but complementary principles for handling complex planning problems, developed within the computer science disciplines of artificial intelligence and formal verification&quot;, explains Rune Moeller Jensen.<br/><br/>Several research groups have tried to combine the two principles. However, this has been shown to be difficult. Rune Moeller Jensen has, in co-operation with American colleagues from Carnegie Mellon University, developed a method called state-set-branching, in which the two principles can be combined. &quot;We could show that these search algorithms were more efficient than previous algorithms&quot;, he says. ]]></description>
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	<item>
		<title><![CDATA[The Race to Machine Translation for Web Search]]></title>
		<link>http://ai-depot.com/news/story/Race-to-Machine-Translation-Web-Search/</link>
		<comments>http://ai-depot.com/news/story/Race-to-Machine-Translation-Web-Search/</comments>
		<pubDate>Thu, 31 May 2007 10:54:49 EDT</pubDate>
		<dc:creator>donkey</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Race-to-Machine-Translation-Web-Search/</guid>
		<description><![CDATA[Google Inc., of Mountain View, Calif., yesterday began to roll out a translation service that allows users to search Web pages in a dozen different languages but still enter their query -- and view their results -- in the language with which they are most familiar.<br/><br/>Meanwhile, Microsoft Corp. is working on improving its natural-language processing software that translates documents by extracting implied meanings behind a string of phrases or words as opposed to translating each word literally. The company says it is considering ways to implement technology into its Live search service, which it currently offers in 46 markets from Germany to Hong Kong. ]]></description>
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	<item>
		<title><![CDATA[Face-Recognition Software Outperforms Humans]]></title>
		<link>http://ai-depot.com/news/story/Face-Recognition-Software-Outperforms-Humans/</link>
		<comments>http://ai-depot.com/news/story/Face-Recognition-Software-Outperforms-Humans/</comments>
		<pubDate>Wed, 30 May 2007 14:14:52 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Face-Recognition-Software-Outperforms-Humans/</guid>
		<description><![CDATA[Computers outperform humans at recognizing faces in recent tests.  For scientists and engineers involved with face-recognition technology,the recently released results of the Face Recognition Grand Challenge--more fully, the Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006--have been a quiet triumph. Sponsored by the National Institute of Standards and Technology (NIST), the match up of face-recognition algorithms showed that machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995. Indeed, the best face-recognition algorithms now perform more accurately than most humans can manage. Overall, facial-recognition technology is advancing rapidly.<br/><br/>Among other advantages, 3-D facial recognition identifies individuals by exploiting distinctive features of a human face's surface--for instance, the curves of the ]]></description>
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		<title><![CDATA[Compound-Eye Camera Analyzes Scenes]]></title>
		<link>http://ai-depot.com/news/story/Compound-Eye-Camera-Analyzes-Scenes/</link>
		<comments>http://ai-depot.com/news/story/Compound-Eye-Camera-Analyzes-Scenes/</comments>
		<pubDate>Sun, 27 May 2007 16:56:05 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Compound-Eye-Camera-Analyzes-Scenes/</guid>
		<description><![CDATA[Researchers at the University of Osaka have developed an ultrathin camera that can determine the distance between objects in a scene and pick out color and structural features. In effect, the team, led by Jun Tanida, has built an integrated hardware and software system for recognizing objects and recreating 3-D scenes.<br/><br/>Tanida says that he looked at biological imaging systems--in particular, the compound eyes of insects--for the design blueprint. The technology, called TOMBO (Thin Observation Module by Bound Optics), is actually a collection of nine small lenses and software that analyzes the scene by mimicking the process that insects use to recognize the position, shape, and color of objects, Tanida says. The researchers have crammed TOMBO's hardware into a tiny box the size of a shirt button. And in the age of increasingly smaller and thinner mobile gadgets, such a compound-eye cam ]]></description>
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		<title><![CDATA[Categorizing Citizen Comments with Natural Language Processing]]></title>
		<link>http://ai-depot.com/news/story/Categorizing-Citizen-Comments-with-Natural-Language-Processing/</link>
		<comments>http://ai-depot.com/news/story/Categorizing-Citizen-Comments-with-Natural-Language-Processing/</comments>
		<pubDate>Sun, 27 May 2007 16:55:48 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Categorizing-Citizen-Comments-with-Natural-Language-Processing/</guid>
		<description><![CDATA[Cardie, an expert in natural language processing, is developing computer programs to sift and categorize the masses of comments. First, agency staff will highlight sentences in the comments that connect with various issues. Over time, the computer will learn the rules of classification and take over.<br/><br/>But an ounce of prevention is worth a pound of computer analysis, so Farina, with the help from Geri Gay , professor of communication, is developing a Web interface to help users write more useful comments. &quot;One way to make the job easier for the agencies is to make the comments better,&quot; Farina explains. &quot;People don't understand that they're not writing to their legislators.&quot; Working with Gay and Hronn Brynjarsdottir, a research associate in Gay's Human Computer Interaction Laboratory, Farina is developing 20 to 30 Web pages of introductory information about the rule-making process and h ]]></description>
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		<title><![CDATA[Data-Mining Is Going Mainstream]]></title>
		<link>http://ai-depot.com/news/story/Data-Mining-Is-Going-Mainstream/</link>
		<comments>http://ai-depot.com/news/story/Data-Mining-Is-Going-Mainstream/</comments>
		<pubDate>Fri, 25 May 2007 12:27:04 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Data-Mining-Is-Going-Mainstream/</guid>
		<description><![CDATA[A recent experience in tackling crime and robberies is part of a wave of sophisticated computing and mathematical analytics that is moving into the mainstream. Fueling the trend are the digitization of information, ever faster and cheaper computing, and the explosion of online networks and data collection.<br/><br/>The results, says Jon M. Kleinberg, a computer scientist at Cornell University, are a &quot;revolution in measurement&quot; and the &quot;introduction of computing and algorithmic processes into the social sciences in a big way.&quot; The phenomenon is strikingly evident in economics, business and crime prevention. ]]></description>
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	<item>
		<title><![CDATA[What is Self-Learning Software?]]></title>
		<link>http://ai-depot.com/news/story/What-is-Self-Learning-Software/</link>
		<comments>http://ai-depot.com/news/story/What-is-Self-Learning-Software/</comments>
		<pubDate>Thu, 24 May 2007 15:49:34 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>blog post</category>
		<guid>http://ai-depot.com/news/story/What-is-Self-Learning-Software/</guid>
		<description><![CDATA[What brought all this to my attention is IBM's new self-learning software that automatically categorizes large volumes of information, making it easier to find, access, and use. The  IBM Classification Module for OmniFind Discovery Edition provides a platform for managing classification of content archiving -- compliance solutions, e-mail management, content-centric business process management solutions, taxonomy management, and the like.<br/><br/>The content classification software automatically learns and interprets the meaning of unstructured text such as in documents, e-mails, and customer interactions -- in real-time, making content classification more precise. The software understands words, linguistics, semantics, and context of the language as well as associated metadata. The self-learning classification software becomes more accurate over time without requiring human adjustment. ]]></description>
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	<item>
		<title><![CDATA[Machine Learning Helps Control Cyber-Moths]]></title>
		<link>http://ai-depot.com/news/story/Machine-Learning-Helps-Control-Cyber-Moths/</link>
		<comments>http://ai-depot.com/news/story/Machine-Learning-Helps-Control-Cyber-Moths/</comments>
		<pubDate>Thu, 24 May 2007 15:22:32 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Machine-Learning-Helps-Control-Cyber-Moths/</guid>
		<description><![CDATA[A MIT project is aiming to control moths automatically, by injecting a chip in the pupa stage and let it grow inside it.  A bunch of experiments have been done over the past couple of years where simple animals, such as rats and cockroaches, have been operated on and driven by joysticks.<br/><br/>This time, however, machine learning is applied to figure out how to control the moths, using a direct neural connection. ]]></description>
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		<title><![CDATA[Pattern Recognition in the Unshredder]]></title>
		<link>http://ai-depot.com/news/story/Pattern-Recognition-in-Unshredder/</link>
		<comments>http://ai-depot.com/news/story/Pattern-Recognition-in-Unshredder/</comments>
		<pubDate>Mon, 21 May 2007 17:49:25 EDT</pubDate>
		<dc:creator>alexjc</dc:creator>
		<category>news article</category>
		<guid>http://ai-depot.com/news/story/Pattern-Recognition-in-Unshredder/</guid>
		<description><![CDATA[German scientists have finally got the go-ahead from the government to put their &quot;unshredder&quot; - said to be the world's most sophisticated pattern- recognition machine - into use. It works by scanning in each of the pieces individually, then matching them up in a way that satisfies all the constraints. After years of debate, 4m Euro has been set aside by the parliament to start piecing together 600m snippets of paper, or 45m documents, which were ripped up in a secret operation by panicked Stasi officers after the fall of the Berlin Wall in 1989.<br/><br/>But even if the government had stalled the project, the commercial potential of the machine would have seen it win through. The Fraunhofer scientists have already received requests to buy the so-called E-Puzzler from authorities in other former communist countries of eastern Europe, such as Latvia and Poland, as well as from Argentina and Chi ]]></description>
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