MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

Recent survey delivers the first systematic map of LLM tool-learning, dissecting why tools supercharge models and how ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...

Many new teachers step into classrooms that still reflect traditional, teacher-centered models. These classrooms often place ...