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MIT researchers found that many so-called “ineffective” networks may simply start from less-than-ideal starting points, and that short-term guidance can strengthen their performance (Credit: Alex Shipps/MIT CSAIL).

Guided learning lets "untrainable" neural networks realize their potential

MIT researchers are teaching robots to understand their own limits while still achieving their goals, ensuring the machines move safely and never overextend themselves (Credits: Maximilian Stölzle and Joey Impoza Roberts).

New control system teaches soft robots the art of staying safe

MIT researchers propose breaking software systems down into “concepts” (pieces that each do a specific job) and “synchronizations” (rules that outline how the pieces fit together), potentially opening the door to safer, more automated software development (Credits: Alex Shipps/MIT CSAIL, using assets from Pexels).

MIT researchers propose a new model for legible, modular software

Spotlighted News

Guided learning lets "untrainable" neural networks realize their potential

New control system teaches soft robots the art of staying safe

MIT researchers propose a new model for legible, modular software