Researchers from MIT have unveiled a new 168-core chip that will enable smartphones and embedded Internet of Things (IoT) devices to run artificial intelligence (AI) algorithms locally. Called “Eyeriss,” the processor is said to be ten times as efficient as a mobile GPU with 200 cores.
“Deep learning is useful for many applications, such as object recognition, speech, face detection,” said MIT professor Vivienne Sze. “Right now, the networks are pretty complex and are mostly run on high-power GPUs. You can imagine that if you can bring that functionality to your cell phone or embedded devices, you could still operate even if you don’t have a WiFi connection.”