Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

AI in 2026 faces limits to scaling, new innovation beyond large models, rising enterprise adoption and mounting pressure on ...

Some education experts are prepared for the sector’s growing disenchantment with generative artificial intelligence. Others ...

SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...

Moonshot AI, one of China's leading 'AI Tigers,' raises $500M to fill its AI infrastructure war chest - SiliconANGLE ...

Several European research and innovation funders are putting money into fresh forms of artificial intelligence that they hope ...

AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...

On its website, the Canadian Medical Association calls AI-generated health advice “dangerous,” pointing out that ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the ...

But more seriously, because AI offers enormous benefits for medical diagnoses and treatments and addressing climate change, ...