California Governor Brown signs bill clearing use of driverless cars on public roads (video)

California Governor Brown signs bill clearing use of driverless cars on public roads video

Google just chalked up one of the more important victories for driverless cars. California Governor Jerry Brown has signed bill SB1298 into law, formalizing the legal permissions and safety standards needed to let automated vehicles cruise on state-owned roads. While the bill lets anyone move forward with their plans, it’s clear from the ceremony that local technology darling Google is the primary impetus for the measure: Brown visited Google’s Mountain View headquarters to put ink to paper, and Google co-founder Sergey Brin oversaw the signing with his Google Glass eyewear on full display. If you’re dying to see driverless vehicles become mainstays of the Golden State, the official act making that possible is already available to watch after the break.

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California Governor Brown signs bill clearing use of driverless cars on public roads (video) originally appeared on Engadget on Tue, 25 Sep 2012 16:54:00 EDT. Please see our terms for use of feeds.

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Google simulates the human brain with 1000 machines, 16000 cores and a love of cats

Google simulates the human brain with 1000 machines, 16000 cores and a love of cats

Don’t tell Google, but its latest X lab project is something performed by the great internet public every day. For free. Mountain View’s secret lab stitched together 1,000 computers totaling 16,000 cores to form a neural network with over 1 billion connections, and sent it to YouTube looking for cats. Unlike the popular human time-sink, this was all in the name of science: specifically, simulating the human brain. The neural machine was presented with 10 million images taken from random videos, and went about teaching itself what our feline friends look like. Unlike similar experiments, where some manual guidance and supervision is involved, Google’s pseudo-brain was given no such assistance.

It wasn’t just about cats, of course — the broader aim was to see whether computers can learn face detection without labeled images. After studying the large set of image-data, the cluster revealed that indeed it could, in addition to being able to develop concepts for human body parts and — of course — cats. Overall, there was 15.8 percent accuracy in recognizing 20,000 object categories, which the researchers claim is a 70 percent jump over previous studies. Full details of the hows and whys will be presented at a forthcoming conference in Edinburgh.

Google simulates the human brain with 1000 machines, 16000 cores and a love of cats originally appeared on Engadget on Tue, 26 Jun 2012 07:22:00 EDT. Please see our terms for use of feeds.

Permalink SMH.com.au  |  sourceCornell University, New York Times, Official Google Blog  | Email this | Comments