A new roadmap links materials, design, and process to build stretchable synaptic transistors for soft, low-power AI and ...

Scientists are building computers made from living brain cells (also called “biocomputers”). These systems use real neurons ...

Computing systems that mimic biological neural networks underlie many artificial-intelligence applications. But these synthetic neural networks typically need complex, dedicated hardware and consume a ...

AI transformation depends on specialized chip innovation—power, cooling, cost, and design speed drive the next hardware era.

GPU semiconductor factory, Jensen Huang’s roadmap connects data centers, networks, and industrial systems into a ...

The new AI factory will integrate Samsung’s semiconductor technologies with Nvidia’s accelerated computing platforms.

A disruption in the delivery of semiconductor chips, used in many car parts, has GM and others seeking solutions.

Although the Democrat and Republican on the Nov. 4 ballot serve in elected county offices, they had different experiences ...

Within the semiconductor industry, SiC is a transformative material. This wide bandgap compound drives innovation in power ...

Speech synthesis has been around since roughly the middle of the 20th century. Once upon a time, it took remarkably advanced hardware just to even choke out a few words. But as [atomic14] shows ...

Artificial Intelligence (AI) is advancing at a remarkable pace. It is becoming smarter, faster, and capable of processing massive amounts of data in ways that were unimaginable a few years ago. From ...

Researchers from Peking University say their resistive random-access memory chip may be capable of speeds 1,000 faster than the Nvidia H100 and AMD Vega 20 GPUs.