Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

Shawn Shen believes that AI will need to remember what it sees in order to succeed in the physical world. Shen’s company Memories.ai is using Nvidia AI tools to build the infrastructure for wearables ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. RJ Scaringe at Featured Session "The Moment We're In: Transitioning How We Move, Think and ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...

For the first time since Tesla launched the Model 3 in China in 2019, another automaker has outsold it in the premium electric sedan segment. And it’s a smartphone company. Xiaomi delivered 258,164 ...

AI infrastructure demand drives memory chip price surge Smartphone and PC sales expected to decline due to higher costs Memory chip shortage impacts low- and mid-range device makers most Apple may ...

What if the next leap in AI wasn’t just about generating code but about truly understanding it? Below, Universe of AI takes you through how the leaked details of DeepSeek V4 suggest a bold ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...

This atomistic model showing the coexistence of two solid phases of NiTi: austenite (blue), stable at higher temperatures, and martensite (brown), stable at lower temperatures. The martensite region ...