PC AI sucks at Civilization, reads manual, starts kicking ass The Massachusetts institute of technology have been experimenting with their computers' AI. Specifically the way they deal with the meaning of words. You might think that the best way to analyse this kind of thing would be with a human to PC conversation, like in Short Circuit. That's not the case. Instead, the boffins handed over PC classic, Civilization, and let the AI get on with it. Then the researchers handed over the instructions and taught the PCs a "machine-learning system so it could use a player's manual to guide the development of a game-playing strategy." Associate professor of computer science and electrical engineering, Regina Barzilay, offered insight into why they used a game manual to prove their point. Civ was picked because it's a really fun game, and they didn't want the computers to get bored during the testing. Not really. These kind of systems could make developer's jobs a lot easier. What's the best AI you've ever played against? (via Reddit)
Tiny Satellite To Scrawl Morse Code Messages Across the Night Sky Programming Poker AI This article was originally published in the “Inner Product” column in Game Developer Magazine, November 2005 I recently programmed the AI for the World Series of Poker, developed by Left Field Productions and published by Activision. I started out thinking it would be an easy task. But it proved a lot more complex than I initially thought. This article for the budding poker AI programmer provides a foundation for a simple implementation of No-Limit Texas Holdem Poker AI, covering the basics of hand strength evaluation and betting. The goal of any game playing AI is twofold. You will need an implementation of the following data types. A "suit" is an integer in the range 0..3, where 0=Clubs, 1=Diamonds, 2=Hearts, 3=Spades A "rank" is an integer in the range 0..12, where 0 = 2 (deuce), 1 = 3, 11 = King, 12 = Ace. A "card" is an integer in the range 0..51, hence card = suit*13 + rank. A "Hand" is a 52 bit data type, where each bit represents a single card. The solution is automated testing.
Why the Big Bang is Wrong undefined John Kierein The Big Bang theory of the universe is wrong because the cosmological red shift is due to the Compton effect rather than the Doppler effect. See The Endless, Boundless, Stable Universe by Grote Reber and Hubble's Constant in Terms of the Compton Effect by John Kierein. The latter describes how the Compton effect cosmological red shift accelerates with increasing distance. Reber showed that the Compton effect was the cause of the red shift in order to explain the observations of bright, very long wavelength, extragalactic radio waves. Quasars may be much closer than their red shift would indicate if they have an "intrinsic" red shift due to being surrounded by a 'fuzzy' atmosphere containing free electrons and other material. Some such quasars may be double stars, with one member being an ordinary star and the other exhibiting a large red shift and being labeled as a quasar. The red shift on the sun is obviously not Doppler since the sun is not moving away from us.
The Coming Technological Singularity ==================================================================== The Coming Technological Singularity: How to Survive in the Post-Human Era Vernor Vinge Department of Mathematical Sciences San Diego State University (c) 1993 by Vernor Vinge (Verbatim copying/translation and distribution of this entire article is permitted in any medium, provided this notice is preserved.) This article was for the VISION-21 Symposium sponsored by NASA Lewis Research Center and the Ohio Aerospace Institute, March 30-31, 1993. It is also retrievable from the NASA technical reports server as part of NASA CP-10129. A slightly changed version appeared in the Winter 1993 issue of _Whole Earth Review_.
How We Predict Each Other's Choices Humans may not be mind readers, but our brains are able to predict other people's decisions pretty well. New research on this phenomenon shows that two spots in the brain weigh the risk and reward of the choice someone else is making. "Perhaps we may one day better understand how and why humans have the ability to predict others' behavior, even those with different characteristics," Hiroyuki Nakahara, of the RIKEN Brain Science Institute, in Japan, said in a statement. "Ultimately, this knowledge could help improve political, educational and social systems in human societies." To study this, 39 participants watched another person play a game (on a computer screen) and predicted what choices that person would make based on the person's prior moves. Meanwhile, the researchers scanned the players' brains using functional magnetic resonance imaging (fMRI), a technique that can detect brain activity. The study is detailed in tomorrow's (June 21) issue of the journal Neuron.
Face Detection Homepage: Face finding and recognition The Complexity and Artificial Life Research Concept for Self-Organizing Systems Turing Test [<< | Prev | Index | Next | >>] Turing Test Human: Hello Computer: Hi. Human: What's your name? Computer: Can we cut the small talk and get to something interesting? Human: Ur, ok... [<< | Prev | Index | Next | >>] GOOGLE HACKING TO HACK INTO A LIVE SECURITY CAMERA « FREE EDUCATION Google serves almost 80 percent of all search queries on the Internet, proving itself as the most popular search engine. However Google makes it possible to reach not only the publicly available information resources, but also gives access to some of the most confidential information. In this post I will show how to use Google Hacking to Hack into a Live Security Camera. There exists many security cameras used for monitoring places like parking lots, college campus, road traffic etc. which can be hacked using Google so that you can view the images captured by those cameras in real time. •inurl:”CgiStart? For Example use this query inurl:”viewerframe? Wow, you can see a live cam on your PC screen!! As you can see in the above screenshot, you now have access to the Live cameras which work in real-time. Like this: Like Loading...
11.19.2007 - New technique captures chemical reactions in a single living... UC Berkeley Press Release New technique captures chemical reactions in a single living cell for the first time By Sarah Yang, Media Relations | 19 November 2007 BERKELEY – Bioengineers at the University of California, Berkeley, have discovered a technique that for the first time enables the detection of biomolecules' dynamic reactions in a single living cell. By taking advantage of the signature frequency by which organic and inorganic molecules absorb light, the team of researchers, led by Luke Lee, professor of bioengineering and director of UC Berkeley's Biomolecular Nanotechnology Center, can determine in real time whether specific enzymes are activated or particular genes are expressed, all with unprecedented resolution within a single living cell. The technique, described in the Nov. 18 issue of the journal Nature Methods, could lead to a new era in molecular imaging with implications for cell-based drug discovery and biomedical diagnostics.