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Massachusetts Institute of Technology


Automated method helps researchers quantify uncertainty in their predictions

Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.

SourceMassachusetts Institute of Technology·JournalJournal of Machine Learning Research·DateFeb 21, 2024

Study: Global deforestation leads to more mercury pollution

A new study by MIT researchers reveals that global deforestation is a previously overlooked driver of human-made mercury emissions, with the Amazon rainforest playing a crucial role in mitigating this issue. The study estimates that curbing Amazon deforestation could reduce mercury pollution by 30%, highlighting the need for worldwide ...

SourceMassachusetts Institute of Technology·JournalEnvironmental Science & Technology·DateFeb 12, 2024

Doctors have more difficulty diagnosing disease when looking at images of darker skin

A new study from MIT researchers found that doctors are less accurate in diagnosing skin diseases based on images of patients with darker skin. The researchers also discovered that an artificial intelligence algorithm can assist doctors in improving their diagnosis, although the improvements were more pronounced for lighter skin tones.

SourceMassachusetts Institute of Technology·JournalNature Medicine·DateFeb 6, 2024