This Mighty Brain Chip Is So Efficient It Could Bring Advanced AI to Your Phone

SingularityHub | August 30, 2022

This month, a study in Nature upgraded CIM from the ground up. Rather than focusing solely on the chip?s design, the international team?led by neuromorphic hardware experts Dr. H.S. Philip Wong at Stanford and Dr. Gert Cauwenberghs at UC San Diego?optimized the entire setup, from technology to architecture to algorithms that calibrate the hardware. Full Story

New AI Chip Twice as Energy Efficient as Alternatives

IEEE Spectrum | August 29, 2022

A team of researchers have developed a prototype of a new compute-in-memory (CIM) chip that eliminates the need for this separation. Their prototype, they claim in their paper published in Nature on 17 August, demonstrates twice the efficiency of existing AI platforms. Full Story

AI chip adds artificial neurons to resistive RAM for use in wearables, drones

The Register | August 18, 2022

A newly published research paper describes a compute-in-memory (CIM) chip that combines artificial neurons with resistive RAM (RRAM) so that the AI model weights can be stored and processed on the same chip. Full Story

48 core neuromorphic AI chip uses resistive memory

eeNews | August 17, 2022

A team of researchers in the US and China has designed and built a neuromorphic AI chip using resistive RAM, also known as memristors. The 48 core NeuRRAM chip developed at the University of California San Diego is twice as energy efficient as other compute-in-memory chips and provides results that are just as accurate as conventional digital chips. Full Story

?Unprecedented? artificial intelligence breakthrough could make complex machines a reality

The Sun | August 17, 2022

A CHIP designed to run calculations without cloud computing has the potential to rapidly advance the artificial intelligence revolution. The chip runs artificial intelligence programs using memory stored locally. Full Story