The H200 is an older generation ​of Nvidia's AI chips, built on its Hopper architecture launched in 2022, which preceded the ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Stanford, CMU, Penn, MIT, and SkyWater Technology reached a major milestone by producing the first monolithic 3D chip ...

It took computer memory company Micron Technology (NASDAQ: MU) 20 years to regain the highs it had achieved during the ...

If you need to expand your Mac storage in a big way without breaking the bank, your best bet is with external hard drives.

In a recent conversation with Dwarak Rajagopal, Head of AI Research at Snowflake, what stood out was not optimism or ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

MIT researchers developed a new fabrication method that could enable them to stack multiple active components, like transistors and memory units, on top of an existing circuit, which would improve the ...

The Torrance Democrat says he wants to support AI innovation while ensuring guardrails to prevent ‘significant harm’ to ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...