A marriage of formal methods and LLMs seeks to harness the strengths of both.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

A total of 114 clinical medicine students who had internships in our hospital from January 2021 and December 2023 selected as the research participants. These students were randomly divided into a PBL ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Jeff Bergin, Ph.D., is the chief learning officer at General Assembly, an executive coach, and the author of Already Smarter. Everyone in HR is talking about AI—and for good reason. It’s transforming ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Abstract: The cold-start issue in recommendation systems refers to the challenge of recommending items or users when minimal or no prior data is available. Meta-learning methods have emerged as a ...

Abstract: Demand Responsive Transport (DRT) plays a crucial role in mitigating the inefficiencies of current public transit systems. Efficient routing is paramount for enhancing the flexibility and ...