Researchers design sensors to rapidly detect plant hormones
SMART nanosensors are safer and less tedious than existing techniques for testing plants’ response to compounds such as herbicides.
SMART nanosensors are safer and less tedious than existing techniques for testing plants’ response to compounds such as herbicides.
Studying these organoids could help researchers develop and test new treatments for pancreatic cancer, one of the deadliest types of cancer.
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
How-to manual from MIT and the Fashion Institute of Technology codifies successful textiles partnership between designers, engineers.
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
Record number of honorees will engage in the life of the Institute through teaching, research, and other interactions with the MIT community.
New superconducting magnet breaks magnetic field strength records, paving the way for practical, commercial, carbon-free power.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
A new approach increases the efficiency of chemical reactions that are key to many industrial processes.
3D lithography tool will provide ultra-precise creation of complex 3D structures at the micro- and nanoscale.
A former department head who established the MEng degree for EECS undergraduates, Penfield developed courses illuminating the equivalence of information and thermodynamic entropy.
To mitigate natural hazards equitably, PhD candidate Ipek Bensu Manav of the MIT CSHub is incorporating social vulnerability into resilience engineering and hazard recovery.
This year’s projects address mobile evaporative vegetable preservation, portable water filtration, and dairy waste reduction.
For the past seven years, the MIT University Center for Exemplary Mentoring has created a robust infrastructure of resources, people, and support.
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.