Boston University

Bertsekas’s research spanned, and had a major influence upon, several fields, including optimization, control, large-scale computation, reinforcement learning, and artificial intelligence.

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.