Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the ...

A new Super-Turing AI chip mimics the human brain to learn in real time, adapt on the fly, and use ultra-low power in dynamic ...

As edge AI adoption accelerates, printed circuit boards (PCBs) play a crucial role in bridging AI and hardware. Serving as ...

Nvidia NIM microservices are designed to help you run AI on your local device, allowing you to do more with AI models.

A smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and ...

The paradox is as follows - for AI to relieve a user of some of their work, that user has to work more. On the other hand, on ...

Memristors consume extremely little power and behave similarly to brain cells. Researchers have now introduced novel memristive that offer significant advantages: they are more robust, function across ...

Synopsys , which makes software used to design semiconductors, on Wednesday introduced a technology it said will pave the way ...

A new artificial intelligence (AI) framework developed by teams associated with China's Tsinghua University is said to be able to reduce reliance on Nvidia chips ... team led by computer science ...

which gives it great insight into what trends are occurring in the chip industry. Over the next five years, Taiwan Semiconductor's management expects AI-related revenue to grow at a 45% compound ...

The demand for these customizable chips has increased thanks to growing demand for AI training and inference, as they carry a cost and performance advantage over graphics processing units (GPUs ...

Meta is developing its first AI training chip to reduce reliance on external suppliers like Nvidia. Partnering with TSMC, Meta is testing the chip for content recommendation systems on Facebook ...