Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher and beloved colleague
The brilliant scientist was known for both the depth of his intellect and his kindness.
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Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Q&A: Neil Thompson on computing power and innovation
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.
Taking the guesswork out of dental care with artificial intelligence
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Robots play with play dough
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
Researchers release open-source photorealistic simulator for autonomous driving
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
New model helps identify mutations that drive cancer
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
MIT-Northpond Program created to advance innovation in engineering and life sciences
The five-year collaboration aims to accelerate the translation of breakthrough engineering and biology for human health.
Researchers discover a new hardware vulnerability in the Apple M1 chip
CSAIL scientists’ novel hardware attack against the Apple M1 chip defeats the last line of security while leaving no trace.
Keeping web-browsing data safe from hackers
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
Faster computing results without fear of errors
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.
Hallucinating to better text translation
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
Making data visualization more accessible for blind and low-vision individuals
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
In bias we trust?
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.