Recent advances in materials, devices, and system architectures are driving a new generation of computing beyond traditional CMOS, with neuromorphic ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

The history of computing has primarily revolved around physical materials. From the silicon transistors of the mid-20th century to today’s powerful H100 GPU clusters, we have based intelligence on ...

Researchers have built new photonic computing chips that allow neural networks to learn using ...

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, ...

IISc and Pratiksha Trust launch a groundbreaking project to develop AI-powered brain co-processors for stroke rehabilitation.

Nanoscale molybdenum disulfide memristors integrated onto standard CMOS chips achieve the lowest switching voltage reported ...

AI plays a huge role in the semiconductor industry, both by facilitating more efficient development processes and as a target application in development work. This is why the Fraunhofer Heilbronn ...

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, smart home devices, and digital twin industrial sensors..

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

The jointly developed human-presence detection solution from Socionext and Innatera combines 60 GHz FMCW radar sensing with a neuromorphic Spiking Neural Processor to enable always-on detection at sub ...