MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
Read MoreThe approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
Read MoreThe research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
Read MorePopular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Read MoreMIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
Read MoreA new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
Read MoreThe system automatically learns to adapt to unknown disturbances such as gusting winds.
Read MoreResearchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Read MoreNew phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.
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