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Although we usually prefer our computers to be perfect, logical, and psychologically fit, sometimes there's more to be learned from a schizophrenic one. A University of Texas experiment has doomed a computer with dementia praecox, saddling the silicon soul with symptoms that normally only afflict humans. By telling the machine's neural network to treat everything it learned as extremely important, the team hopes to aid clinical research in understanding the schizophrenic brain -- following a popular theory that suggests afflicted patients lose the ability to forget or ignore frivolous information, causing them to make illogical connections and paranoid jumps in reason. Sure enough, the machine lost it, and started spinning wild, delusional stories, eventually claiming responsibility for a terrorist attack. Yikes. We aren't hastening the robot apocalypse if we're programming machines to go mad  intentionally , right? Forbes University of Texas

E-readers may not be good enough for Princeton's hallowed halls, but students and professors at Oklahoma State University seem to have fallen head over heels for their iPads. Last fall, the school introduced the tablets in a handful of lecture halls and classrooms, as part of its iPad Pilot Program. Teachers involved in the study said they benefited from all the educational software available on Apple's App Store, while students appreciated not having to spend their life savings on traditional textbooks. At the end of the pilot program, a full 75-percent of collegians said the iPad "greatly enhanced" their classroom experience, though we're guessing that much of that enhancement came from their newfound ability to check TweetDeck between lecture notes. Opinion was noticeably more divided, however, on the device's value as an e-reader. Some enjoyed having all their books in one place, whereas others were a bit disappointed with the experience, saying they didn...

We've seen a rather creepy array of robots programmed to mimic human emotions, but teaching a machine to feel regret? Now,  that's  a new one. With funding from Google, a team of Tel Aviv Universityresearchers is working on an algorithm to teach computers to learn from their experiences, thus reducing instances of "virtual regret." According to the team's lead, such an algorithm would allow servers and routing systems to more efficiently deal with internet traffic, by recognizing and documenting things like sudden spikes in traffic or increased attention to an online product. Basically, the more they learn from their past inadequacies, the more effectual the machines become. Google's apparently interested in the potential impact on programs like AdSense and AdWords. Now, if they could just teach online advertisers a sense of shame... Full PR after the break. Tel Aviv University