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Research
Strengthening trust in machine-learning models
A design tool to democratize the art of color-changing mosaics
Bob Metcalfe ’69 wins $1 million Turing Award
Learning to grow machine-learning models
3D-printed revolving devices can sense how they are moving
Resilient bug-sized robots keep flying even after wing damage
Minimizing electric vehicles’ impact on the grid
Python-based compiler achieves orders-of-magnitude speedups
New “traffic cop” algorithm helps a drone swarm stay on task
A new method to boost the speed of online databases
Creating a versatile vaccine to take on Covid-19 in its many guises
Large language models are biased. Can logic help save them?
A new chip for decoding data transmissions demonstrates record-breaking energy efficiency
A new way for quantum computing systems to keep their cool
Efficient technique improves machine-learning models’ reliability
Solving a machine-learning mystery
Automating the math for decision-making under uncertainty
Making computer science research more accessible in India
When should data scientists try a new technique?
Sensing with purpose
Putting clear bounds on uncertainty
MIT researchers develop an AI model that can detect future lung cancer risk
Computers that power self-driving cars could be a huge driver of global carbon emissions
Unpacking the “black box” to build better AI models
Simulating discrimination in virtual reality
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