J-WAFS: Supporting food and water research across MIT
For the past decade, the Abdul Latif Jameel Water and Food Systems Lab has strengthened MIT faculty efforts in water and food research and innovation.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
Engineers turn the body’s goo into new glue
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Engineers enable a drone to determine its position in the dark and indoors
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
Study reveals the Phoenix galaxy cluster in the act of extreme cooling
Observations from NASA’s James Webb Space Telescope help to explain the cluster’s mysterious starburst, usually only seen in younger galaxies.
MIT engineers develop a fully 3D-printed electrospray engine
Ideal for propelling tiny satellites, the lightweight devices could be produced on board a spacecraft and cost much less than traditional thrusters.
To keep hardware safe, cut out the code’s clues
New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.
Can deep learning transform heart failure prevention?
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Cleaning up critical minerals and materials production, using microwave plasma
With technology developed at MIT, 6K is helping to bring critical materials production back to the U.S. without toxic byproducts.
MIT method enables ultrafast protein labeling of tens of millions of densely packed cells
Tissue processing advance can label proteins at the level of individual cells across large samples just as fast and uniformly as in dissociated single cells.
Streamlining data collection for improved salmon population management
Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.
3 Questions: What the laws of physics tell us about CO2 removal
In a report on the feasibility of removing carbon dioxide from the atmosphere, physicists say these technologies are “not a magic bullet, but also not a no-go.”