Chip-processing method could assist cryptography schemes to keep data secure
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
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By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.
By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
Overcoming challenges of 3D printing with multiple functional materials, MIT researchers fabricated an electric linear motor in hours.
Seven faculty members, along with 12 additional alumni, are honored for significant contributions to engineering research, practice, and education.
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.
Torralba’s research focuses on computer vision, machine learning, and human visual perception.
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.
New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.
“MorphoChrome,” developed at MIT, pairs software with a handheld device to make everyday objects iridescent.
Founded by two MIT alumni, Samsara’s platform gives companies a central hub to learn from their workers, equipment, and other infrastructure.