Pursuing a practical approach to research
Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.
Using light to manipulate neuron excitability
A new optogenetics-based tool allows researchers to control how neurons respond to electrical input.
An automated way to assemble thousands of objects
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
A faster way to preserve privacy online
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
A healthy wind
Health benefits of using wind energy instead of fossil fuels could quadruple if the most polluting power plants are selected for dialing down, new study finds.
How touch dampens the brain’s response to painful stimuli
Rubbing an aching body part can bring some relief. Neuroscientists at MIT's McGovern Institute are looking to find out why.
Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
MIT researchers use quantum computing to observe entanglement
Researchers at the Center for Theoretical Physics lead work on testing quantum gravity on a quantum processor.
A targeted approach to reducing the health impacts of crop residue burning in India
A new study shows how small-scale actions could improve air quality and health outcomes.
Ushering in a new era of computing
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.
Silent synapses are abundant in the adult brain
These immature connections may explain how the adult brain is able to form new memories and absorb new information.
Mysteriously bright flash is a black hole jet pointing straight toward Earth, astronomers say
The observations could illuminate how supermassive black holes feed and grow.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.