Lincoln Laboratory honored for technology transfer of hurricane-tracking satellites
Federal Laboratory Consortium award recognizes excellence in commercializing small microwave sounders expected to improve weather forecasts.
Federal Laboratory Consortium award recognizes excellence in commercializing small microwave sounders expected to improve weather forecasts.
Inaugural cohort of Tecnológico de Monterrey undergraduates participate in immersive practicum at MIT featuring desktop fiber-extrusion devices, or FrEDs.
ADEPT brings together universities, governments, and other members to empower the next generation of policymakers with the tools to innovate, test, and scale effective public policies and programs.
The MIT-GE Vernova Energy and Climate Alliance includes research, education, and career opportunities across the Institute.
In a new class, students design, build, and test an electric turbopump for a rocket engine, facing challenges they will experience as practicing engineers.
Mechanical metamaterials research demands interdisciplinary collaboration and innovation, say researchers from MechE's Portela Lab.
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.
First responders worldwide adopt Lincoln Laboratory's Next-Generation Incident Command System for enhanced situational awareness and coordination during emergencies.
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
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.
The new initiative will allow selected faculty to focus on their research, build community, and pursue mentorship opportunities.
Exploring and applying concepts from different disciplines provides broad knowledge and hands-on practice for real-world application.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
The consortium will bring researchers and industry together to focus on impact.