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 ...

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

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

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

Two new papers claim to show that AI has abilities that we should know about—including cloning itself. These technologies ...

Columbia engineers have created a powerful 3D photonic-electronic chip that could overcome one of AI’s biggest hardware ...

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 ...

Discover stocks' market position with detailed competitor analyses. The company is testing its first in-house AI training chip. The goal is clear—cut massive infrastructure costs. At the same ...

Meta is looking to spend up to $119 billion on AI in 2025, with about $65 billion allocated to AI infrastructure. As it has spent billions on Nvidia GPUs, Meta is now reducing its reliance on external ...

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 ...