With only 14 billion parameters, rStar2-Agent is considered "compact" compared to models that often boast hundreds of ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

Hunyuan-MT-7B came first in 30 out of the 31 tests in a general machine-translation competition held as part of the coming WMT25 conference.