Senior Software Engineer Sai Nallapa Reddy received a 2025 Global Recognition Award for exceptional contributions to artificial intelligence, machine learning, and cybersecurity. His achievements ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Machine learning is one of the fields in the modern computing world. A plenty of research has been undertaken to make machines intelligent. Learning is a natural human behavior which has been made an ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...