At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.

“AI may generate code faster than any human,” Guo said. “But the need to understand what code is doing has only intensified. AI generates code that may seem right, but it isn’t always reliable. You ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

I test-drove both. Here’s what I learned. In early March, OpenAI unleashed a one-two punch, dropping two major frontier models just days apart.

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its ...

Abstract: Many real-world datasets – from an artist’s body of work to a person’s social media history – exhibit meaningful semantic changes over time that are difficult to capture with existing ...

Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...