Going Beyond Moore's Law: IEEE at SXSW 2017
In 1965, Gordon Moore predicted that the number of components in integrated circuits would grow exponentially. The impact of Moore’s Law is all around us, in the myriad of gadgets, computers, and networks that power modern life. But the winning streak can’t last forever and the value of Moore’s Law is already on the wane. To keep making computers better and better, researchers are turning to new technologies, including circuits modeled on the human brain, carbon nanotube computers, and processors that make do with approximate rather than exact answers. This video from SXSW 2017 talks to some of the leaders in this space: Tom Conte of the Georgia Institute of Technology, Tsu-Jae King Liu of the University of California at Berkeley, and Greg Yeric at ARM Research.
In 1965, Gordon Moore predicted that the number of components in integrated circuits would grow exponentially. The impact of Moore’s Law is all around us, in the myriad of gadgets, computers, and networks that power modern life. But the winning streak can’t last forever and the value of Moore’s Law is already on the wane. To keep making computers better and better, researchers are turning to new technologies, including circuits modeled on the human brain, carbon nanotube computers, and processors that make do with approximate rather than exact answers. This video from SXSW 2017 talks to some of the leaders in this space: Tom Conte of the Georgia Institute of Technology, Tsu-Jae King Liu of the University of California at Berkeley, and Greg Yeric at ARM Research.