When machines fall short, we adjust. When students do, we blame. Here's what that says about learning and instruction.

AI visionaries predict an 'Era of Experience' where AI learns autonomously, and it will have important implications for application design.

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

Liking features on social media can provide troves of data about human behavior to AI models. But as AI gets smarter, will it ...

This openness accelerated adoption exponentially. Within weeks, the initial 60 distilled models released by DeepSeek multiplied into around 6,000 models hosted by the Hugging Face community.

Microsoft has launched a series of AI reasoning models - Phi 4 mini reasoning, Phi 4 reasoning and Phi 4 reasoning plus, as a ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

Yokogawa shows how wireless and AI can bridge edge and cloud computing, and how ENEOS Materials uses FKDPP to give operations ...