Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...

Apple’s recent research paper, “GSM Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models,” challenges the perceived reasoning capabilities of current large ...

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

When a system sold on the basis of having the ability to reason fails to do so with the reliability of a junior engineer, who ...

For millions of people, chatbots powered by large language models (LLMs) are now a key feature of everyday life. These AI ...

The emergence of large language models (LLMs) offers transformative potential for medical research. Current approaches often focus on LLMs as a replacement for researchers or as a supporting tool. In ...

Apple researchers have released a study highlighting the limitations of large language models (LLMs), concluding that LLMs' genuine logical reasoning is fragile and that there is "noticeable variance" ...

Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use ...

World models offer promising opportunities in sectors requiring adaptability, like autonomous driving and robotics, by generalizing knowledge across novel situations. Start-ups are at the forefront, ...