A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th of its original size.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

What does it take to make AI that can pass as human? Try massive clusters of supercomputers. To build human-like intelligence, computer scientists think big. However, for neuroscientists who want to ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

AI videos are not deterministic. This means that even with identical prompts, the results usually differ significantly. A ...

Current AI models are unlikely to be able to make novel scientific breakthroughs, Thomas Wolf, co-founder of Hugging Face said. One major issue with models now is that they often agree with the person ...

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are ...