Making hydropower plants more sustainable
Natel Energy, founded by sibling MIT alumni, is deploying hydropower systems with fish-safe turbines and other features that mimic natural river conditions.
Natel Energy, founded by sibling MIT alumni, is deploying hydropower systems with fish-safe turbines and other features that mimic natural river conditions.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
More complete than existing methods, the new approach might enable longer operational lifetimes for nuclear reactors.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
The technique opens a door to manufacturing of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots.
New stamp-sized ultrasound adhesives produce clear images of heart, lungs, and other internal organs.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
The MIT Mobility Initiative welcomes five inaugural industry members to advance safe, clean, and inclusive mobility.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.