Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

This paper develops a tractable economic model of AJI that treats adoption as an information problem: users care about local reliability, but typically observe only coarse, global quality signals. In ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.

In 2024, a study by J.P. Morgan AI Research and Queen’s University found that leading proprietary artificial intelligence models could pass the CFA Level I and II mock exams, but they struggled with ...

Playful AI bots interact with villagers. Economic tension is building in the world of AI development, and it’s reshaping the relationship between developers, AI providers, and the very tools we use.

Alibaba's (NYSE:BABA) update of its Qwen3 open-source, artificial intelligence models for Apple's (NASDAQ:AAPL) MLX architecture, likely signals the eventual deployment of Apple Intelligence features ...