A new chip cuts both power demand and the need to exchange data from remote servers.
Feb 26th, 2021
Hongyang Jia/Princeton University
Responding to artificial intelligence s exploding demands on computer networks, Princeton University researchers in recent years have radically increased the speed and slashed the energy use of specialized AI systems. Now, the researchers have moved their innovation closer to widespread use by creating co-designed hardware and software that will allow designers to blend these new types of systems into their applications. Software is a critical part of enabling new hardware, said Naveen Verma, a professor of electrical and computer engineering at Princeton and a leader of the research team. The hope is that designers can keep using the same software system - and just have it work ten times faster or more efficiently.
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IMAGE: Princeton researchers have created a new chip that speeds artificial intelligence systems called neural nets while slashing power use. The chips could help bring advanced applications to remote devices such. view more
Credit: Hongyang Jia/Princeton University
Responding to artificial intelligence s exploding demands on computer networks, Princeton University researchers in recent years have radically increased the speed and slashed the energy use of specialized AI systems. Now, the researchers have moved their innovation closer to widespread use by creating co-designed hardware and software that will allow designers to blend these new types of systems into their applications. Software is a critical part of enabling new hardware, said Naveen Verma, a professor of electrical and computer engineering at Princeton and a leader of the research team. The hope is that designers can keep using the same software system - and just have it work ten times faste