UniversityOfTelAviv
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Google funds project to teach computers regret, sadly won't lead to apologetic machines
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 University researchers 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.
SUNRGI, University of Tel Aviv boast of solar power advances
It looks like we've got a bit of intercontinental solar power action today, with Silicon Valley start-up SUNRGI and the University of Tel Aviv both recently boasting of some advances in the field, which they each unsurprisingly say could change things in a big way. For its part, SUNRGI claims that its "concentrated photovoltaic" system (pictured above) can produce as much electricity as much larger solar panels thanks to its use of lenses that magnify sunlight 2,000 times. That, they say, could allow the system to produce electricity for as little as 7 cents per kilowatt hour, or roughly the same price as coal -- and as soon as mid-2009, no less. Not to be outdone, some scientists at the University of Tel Aviv say they've managed to create some super-efficient photovoltaic cells of their own that cost "at least a hundred times less than conventional silicon based devices." The key to their system, it seems, is the use of some good old fashioned photosynthesis, which they were able to achieve not-so-old-fashionedly with the aid of some genetically engineered proteins and a little bit of nanotechnology. As with SUNRGI, they're also promising to get the system out the door as soon as possible, with them reportedly aiming to get a "cost effective" 10mm X 10mm device produced "within three years."Read - USA Today, "Start-up: Affordable solar power possible in a year"Read - EETimes, "Researchers claim photovoltaic cell advance"[Via Next Big Future, thanks Jonathan]
Cellphone towers beat radar at detecting rain, say researchers
Proving once again that wireless technology isn't all bad, researchers from the University of Tel Aviv have determined that cellphone towers are as good as, if not better than, traditional meteorological techniques at measuring rainfall patterns. The team took data already documented by the carriers about each tower's signal strength over time and compared it to information that had been collected by radar and rain gauges, and found that not only did the towers accurately detect the electromagnetic disturbances inherent to storms, but that the degree of change in signal strength was directly proportional to actual rainfall. While widespread utilization of this data could probably have an immediate effect on forecasting if combined with current methodology, the researchers have an even more ambitious goal of detecting signal variations from the end-user -- that is, on consumers' handsets -- for aggregation into even more precise and localized reports once weather-related changes can be teased out from among the many other signal strength variants.[Via Slashdot]
