With rapid advances in AI and semiconductors, brain-computer interface (BCI) technology is becoming a critical front in ...

Traditional datacentre infrastructure has been critical to enterprises, but it’s also a significant drain on budgets and real estate. Modular datacentres are emerging as a strong alternative, ...

Microsoft's push into custom artificial intelligence hardware has hit a serious snag. Its next-generation Maia chip, ...

The Chinese Academy of Sciences (CAS), the nation’s premier science institution, has unveiled a chip design system driven by artificial intelligence (AI) that has the potential to significantly ...

Nvidia is reportedly developing a new China-specific computer chip that can be connected into high-powered “clusters” needed to power artificial intelligence models.

AI-powered tools can drive impressive improvements in chip performance and energy efficiency. This has also led to significant growth in use of AI-powered capabilities in chip design tools.

Along the way, silicon engineers also discovered that AI-powered features could reduce the amount of time necessary to finish a chip design – in some cases, up to 10× faster.

Reuters. Sassine Ghazi, CEO of semiconductor design software firm Synopsys, explains the company's plans to have artificial intelligence take over parts of designing computer chips at the company ...

Samsung could move Exynos chip design to its MX division for more efficient development. Now, a new report says Samsung could make another major change, this time in the System LSI department.

Computer chips are everywhere. They power our smartphones, run our cars, and even manage our household appliances. With such intense demand, the race to build faster, more efficient chips never slows.

Computer algorithms don’t require the same linearity or structure that the human brain usually does, so deciding the order or shape of chip components doesn’t matter to AI the same way it does ...