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

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 ...

Chiplets are the only viable solution to maintain the annual cadence of hardware upgrades that AI scaling demands.

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 ...

Ant Group claims its AI models outperformed Meta’s in benchmarks and cut inference costs, signaling a potential leap forward ...

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 ...

The US government has placed a number of restrictions on the export of advanced AI chips to China, including a series of bans on advanced Nvidia chips. The measures were intended to limit China ...

A new generation of AI models is squeezing more power out of fewer chips. Whether they spark another DeepSeek-scale panic for Nvidia is another matter. Google led the charge this week with a ...

But what if, instead of your mother, it's a generative AI model like OpenAI's ChatGPT telling you something? Should you trust the computer? The takeaway from a talk given by a pair of Carnegie ...

We recently published a list of 12 AI Stocks on Wall Street’s Radar Today. In this article, we are going to take a look at where Super Micro Computer, Inc. (NASDAQ:SMCI) stands against other AI ...

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 ...