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

The new analogue in-memory chip performs computation inside memory, lowering power consumption and latency for AI and data-center workloads.

Dramatically reducing energy consumption while accelerating the processing of large amounts of data. This is the aim of the ...

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

The new high-performance modules deliver up to 180 TOPS of power-efficient computation designed for next-level AI ...

Although doubts about the ongoing strength of artificial intelligence (AI) have been mounting among investors, Taiwan ...

The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, are threefold, centered around supercomputing: one is to target high performance computation itself as a ...

EqoFlow has been accepted into the NVIDIA Inception program, NVIDIA’s global startup accelerator for AI innovators. The ...

Integration architecture completed; company initiating proof-of-concept development to accelerate real-time detection-to-decision loops across defense, cybersecurity, and advanced analytics ...

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...

New computational holography algorithms cut processing time by over half and enable multi-depth augmented reality displays, a ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...