A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.

Tao said the integrated system combines the strengths of two devices in frequency generation, modulation, and in-memory ...

Arteris, Inc. announced that Whalechip has licensed its FlexNoC 5 network-on-chip interconnect IP to design a custom ASIC for advanced near-memory computing architecture, addressing memory access ...

ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

AI chip startup EnCharge AI has closed a $100 million Series B funding round. The oversubscribed round was led by Tiger Global and saw participation from Samsung Ventures and HH-CTBC. It brings the ...

Technion Researchers have developed a software package that enables computers to perform processing operations directly in memory, bypassing the CPU. This is a significant step toward developing ...

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...