New research shows that understanding users' intentions—rather than simply increasing data volume—can improve the suggestions generated by YouTube's "black box" algorithms.

Elon Musk’s X is launching an AI-powered feed with user prompts. Can this redefine social media personalization, or deepen ...

With TikTok’s sale pending, algorithm control remains contested, shaping app’s future moderation, dataset, and cultural ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

Artificial intelligence tools are useful, but it’s important to remember that they don’t know students and their abilities as ...

Yandex has introduced ARGUS, a novel AI-driven architecture transforming recommender systems with billion-parameter ...

Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...

Big Yao, Dan Doulet Early Career Assistant Professor in the Department of Industrial and Systems Engineering at the ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...