Pushing computing to the edge by rethinking microchips’ design — Dr. Rami Shaheen
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." By cutting both power demand and the need to exchange data from remote servers, systems made with the Princeton technology will be able to bring artificial intelligence applications, such as piloting software for drones or advanced language translators, to the very edge of computing infrastructure. "To make AI accessible to the real-time and often personal process all around us, we need to address latency and privacy by [...]