Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

After more than two years of public fretting over AI models as future threats to human civilization or the seedlings of ...

Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...

With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...

Nvidia, AMD, and Intel have all made high-quality image upscaling a cornerstone feature of their new GPUs this decade. Upscaling technologies like Nvidia’s Deep Learning Super Sampling (DLSS), AMD’s ...

When someone asks me for gadget buying advice, I normally tell them to stick with their current device. In 2025, most new tech products aren't a worthwhile upgrade over even something that was ...

What if you could learn in hours what might take others days, or even weeks? Imagine mastering a new skill, understanding a complex concept, or preparing for a major project, all with the help of ...

Ken Griffin's $71 billion Citadel rolled out an AI assistant for its teams of stockpickers this year. The firm's chief technology officer, Umesh Subramanian, said there is no requirement to use AI.

TL;DR: NVIDIA is reducing production of its B40 AI GPU for China from 1.5-2 million to 900,000 units in 2025, as Chinese AI firms favor RTX 5090 gaming GPUs, Hopper AI chips, and local alternatives.

One of the biggest challenges in rolling out AI across enterprise environments is fully tapping into each organization's unique requirements, data sets, and existing infrastructure. If you're a ...