Interesting Engineering on MSN

New in-memory computing chip promises faster processing with lower energy use

Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...
Nasdaq

Compute-In-Memory APU Achieves GPU-Class AI Performance at a Fraction of the Energy Cost

The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...
EDN

Analog in-memory compute tackles the AI inference conundrum

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

TetraMem and SK hynix Showcase Successful Technology Collaboration Advancing Memory-Centric AI Computing

The collaboration brings together SK hynix’s expertise in advanced memory technologies and TetraMem's Analog In-Memory Computing platform to explore new computing architectures capable of addressing ...
Business Wire

d-Matrix Unveils Corsair, the World’s Most Efficient AI Computing Platform for Inference in Datacenters

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 ...
SiliconANGLE

D-Matrix reveals plan to break through AI’s ‘memory wall’ with 3D DRAM-based chip architecture

Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...