Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

Tulkas T100 optical GPU could transform AI inference, tackling massive computations previously impossible for current silicon ...

The rise of AI chips in data centers and PCs is changing the way businesses can protect against cyberattacks and data breaches by introducing new security capabilities such as large-scale digital ...

New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.

Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute ...

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits.

Collaboration combines d-Matrix 3DIMC technology with Andes' high-performance RISC-V CPU IP for Raptor, d-Matrix's next-gen accelerator for blazing fast, sustainable AI inference The collaboration ...

ST. LOUIS (SC25) — Nov 17, 2025 – Generative AI inference compute company d-Matrix and Andes Technology , a supplier of RISC-V processor cores, announced that d-Matrix has selected the AndesCore ...

SiFive’s Intelligence Gen 2 RISC-V IP portfolio combines scalar, vector, and matrix compute to accelerate AI workloads. The Gen 2 lineup includes the new X160 and X180, alongside the upgraded X280, ...