Honing quantum sensing
PhD student David Layden in the Quantum Engineering Group has a new approach to spatial noise filtering that boosts development of ultra-sensitive quantum sensors.
PhD student David Layden in the Quantum Engineering Group has a new approach to spatial noise filtering that boosts development of ultra-sensitive quantum sensors.
U.S. Department of Energy grant will support the Allanore lab's advancement of copper production from sulfur-based minerals.
New insights into the role of water vapor may help researchers predict how the planet will respond to warming.
MIT.nano building, the largest of its kind, will usher in a new age of nanoscale advancements.
Lithium-based battery could make use of greenhouse gas before it ever gets into the atmosphere.
Real-world driving produces up to 16 times more emissions, causing 2,700 premature deaths across the EU, researchers estimate.
System makes it easier to produce new molecules for myriad applications.
Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Model learns to pick out objects within an image, using spoken descriptions.
Researchers identify an essential protein that helps enzymes relax overtwisted DNA so each strand can be copied during cell division.
Research team shows the power of proteomics to discover new drug targets and help develop therapeutic strategies with fewer long-term side effects.
Model of nutrient recycling may explain longstanding mystery.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.