Pages that are tagged with: l

• A Look into the Labs with IBM, Intel, and Microsoft.
  Keynote Panel: Gartner ITxpo 2007. April 26, 2007. (more)
• Language Lessons for Robots.
  "Language-learning techniques designed for children are being used in a bid to break new ground by developing algorithms that enable robots to learn and understand concepts. As part of the project by Plymouth University researchers, two robots will be built featuring software that allows them to interact with each other to exchange learned information like humans." 28 July 2008. (more)
• Learning and Multiagent Reasoning for Autonomous Agents.
  Computers & Thought lecture by Peter Stone at IJCAI07. Three parts plus Intro by Ron Brachman. 2007. (more)
• Lighthill Controversy Debate at the Royal Institution with Professor Sir James Lighthill, Professor Donald Michie, Professor Richard Gregory and Professor John McCarthy.
  Professors Donald Michie [Edinburgh], Richard Gregory [Bristol] and John McCarthy [Stanford] challenge the pessimistic findings & views of Professor Sir James Lighthill [Cambridge], author of "The Lighthill Report" [Artificial Intelligence: A General Survey, in Artificial Intelligence: a paper symposium, Science Research Council (1973)]. June 1973. (more)
• Linking Brains, Computers.
  Because it has been around for such a long time, and has either misled or annoyed so many people over the years, it ought to have a name. Let's call it the Synapse Equivalency Fallacy. Synapses are the interconnections between the neurons that make up the brain and nervous system. The fallacy occurs when a writer likens the transistors in a computer to the synapses in a brain, usually as part of an effort to make computers seem like brains. July 09, 2008. (more)
• Listen.
  Demo of Project Listen for helping kids with reading. Computer listens to kids reading sentences of a story and gives feedback. 1994. (more)
• The Lumiere Project: Intelligent User Interface.
  1995 video on the Lumiere project at Microsoft Research showing a prototype intelligent assistance facility that observes a stream of evidence and that infers goals and needs. Bayesian and decision-theoretic models are employed to make inferences about goals, including the fusing of evidence provided by words from users' queries and from user actions. January 1995. (more)