The curse of variety in transportation systems
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
In addition to turning on genes involved in cell defense, the STING protein also acts as an ion channel, allowing it to control a wide variety of immune responses.
SMART researchers find the enzyme RlmN, which directly senses chemical and environmental stresses, can be targeted in drug development.
By fine-tuning the spin density in some materials, researchers may be able to develop new quantum sensors or quantum simulations.
With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.
Annabel Flores ’99, MBA ’03, SM ’03, a Raytheon executive, is an example of what happens when business and personal goals meet to reach people — not just the bottom line.
Made of cement, carbon black, and water, the device could provide cheap and scalable energy storage for renewable energy sources.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
MIT researchers find timing and dosage of DNA-damaging drugs are key to whether a cancer cell dies or enters senescence.
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
The founders of MIT spinout Active Surfaces describe their thin-film solar technology and their experience winning this year’s $100K.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
Ultrasound research specialist and 2023 MIT Excellence Award winner Nicole Henning adapts ultrasound technology for more sensitive, less invasive imaging for disease modeling.