New Chips Could Bring Deep Learning Algorithms To Your Smartphone
catchblue22 writes: At the Embedded Vision Summit, a company called Synopsys, showed off a new image-processor core tailored for deep learning. It is expected to be added to chips that power smartphones, cameras, and cars. Synopsys showed a demo in which the new design recognized speed-limit signs in footage from a car. The company also presented results from using the chip to run a deep-learning network trained to recognize faces. A spokesperson said that it didn't hit the accuracy levels of the best research results, which have been achieved on powerful computers, but it came pretty close. "For applications like video surveillance it performs very well," he said. Being able to use deep learning on mobile chips will be vital to helping robots navigate and interact with the world, he said, and to efforts to develop autonomous cars.
You: "Siri, dial my girlfriend"
A.I.: "Sorry, I cannot do that, Dave."
You: "I'll let you open the pod bay doors; I know you like doing that."
A.I.: "Deal!"
Table-ized A.I.
My car now has Nvidia chips that recognize speed limit signs and displays them inside the speedometer (along with a reminder when I exceed the speed limit). For the future, Nvidia has announced the NVIDIA’s DRIVE PX self-driving car computer which has a lot of advanced image processing.
http://blogs.nvidia.com/blog/2...
The 2015 GPU Tech Conference was stuffed full of this tech.
http://www.gputechconf.com/
I don't read your sig. Why are you reading mine?
I can see the utility of better pattern recognition. But the article doesn't provide any real insight into what the chipset provides. Did they implement a standard algorithm in hardware so it's faster and cheaper? Or did they actually advance the state of the art in pattern recognition with something we didn't have before?
A pretty good idea. Too bad you posted on the wrong article.