Scientists build new atlas of ocean’s oxygen-starved waters
The 3D maps may help researchers track and predict the ocean’s response to climate change.
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Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Giving bug-like bots a boost
A new fabrication technique produces low-voltage, power-dense artificial muscles that improve the performance of flying microrobots.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
From “cheetah-noids” to humanoids
Benjamin Katz '16, SM '18 is applying the skills he gained working on MIT's mini cheetah robot to the ATLAS project at Boston Dynamics.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
Meet the Oystamaran
Working directly with oyster farmers, MIT students are developing a robot that can flip heavy, floating bags of oysters, helping the shellfish to grow and stay healthy.
Machines that see the world more like humans do
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
NASA selects three MIT alumni for astronaut training
Marcos Berríos ’06, Christina Birch PhD ’15, and Christopher Williams PhD ’12 make up a third of the 2021 NASA astronaut candidate class.
A system for designing and training intelligent soft robots
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
Technique enables real-time rendering of scenes in 3D
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
Making her way through MIT
Graduate student Lucy Du designs novel prosthetics and seeks to inspire others to pursue engineering.
Generating a realistic 3D world
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
The intersection of math, computers, and everything else
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.