MIT affiliates receive 2025 IEEE honors
Five MIT faculty and staff, along with five alumni, are honored for electrical engineering and computer science advances.
Five MIT faculty and staff, along with five alumni, are honored for electrical engineering and computer science advances.
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
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.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.