Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

MIT Laboratory for Information and Decision Systems • mit
May 21, 2025 ~10 min

Imaging technique removes the effect of water in underwater scenes

The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.

Jennifer Chu | MIT News • mit
May 20, 2025 ~8 min


Algebra is more than alphabet soup – it’s the language of algorithms and relationships

What do Sudoku, AI, Rubik’s cubes, clocks and molecules have in common? They can all be reimagined as algebraic equations.

Courtney Gibbons, Associate Professor of Mathematics, Hamilton College • conversation
May 15, 2025 ~10 min

System lets robots identify an object’s properties through handling

With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.

Adam Zewe | MIT News • mit
May 8, 2025 ~7 min

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

MIT Laboratory for Information and Decision Systems • mit
May 5, 2025 ~7 min

Novel AI model inspired by neural dynamics from the brain

New type of “state-space model” leverages principles of harmonic oscillators.

Adam Conner-Simons | MIT CSAIL • mit
May 2, 2025 ~4 min

Algorithm could help solve hearing aids’ ‘cocktail party problem’

A brain-inspired algorithm could improve word recognition accuracy in noisy situations by up to 40 percentage points.

Boston University • futurity
April 28, 2025 ~8 min

Designing a new way to optimize complex coordinated systems

Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.

MIT Laboratory for Information and Decision Systems • mit
April 24, 2025 ~10 min


“Periodic table of machine learning” could fuel AI discovery

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

Adam Zewe | MIT News • mit
April 23, 2025 ~7 min

Some politicians who share harmful information are rewarded with more clicks, study finds

A study of US state legislators found that posting misinformation online was a winning strategy for boosting a politician’s visibility – but not for Democrats.

Yu-Ru Lin, Associate Professor of Computing and Information, University of Pittsburgh • conversation
April 22, 2025 ~6 min

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