Lincoln Lab unveils the most powerful AI supercomputer at any US university
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
The aircraft supports development and testing of diverse technologies for national security.
Now mandated by law, Lincoln Laboratory’s blackout drills are improving national security and ensuring mission readiness.
Inventions that protect US service members, advance computing, and enhance communications are recognized among the year's most significant new products.
MIT physicists confirm that, like Superman, light has two identities that are impossible to see at once.
The alumni-founded startup Nominal has built a platform for building and testing complex systems like fighter jets, nuclear reactors, rockets, and robots.
Mission Innovation x creates education and research opportunities while facilitating connections between defense agencies and MIT innovators.
Lincoln Laboratory cybersecurity expert Hamed Okhravi calls for a unified approach to securing computer memory, as a matter of national security.
In an annual tradition, MIT affiliates embarked on a trip to Washington to explore federal lawmaking and advocate for science policy.
MIT course 15.362/6.9160 (Engineering Innovation: Global Security Systems) gives students an inside look at military problems and empowers them to build prototypes.
The system will support US Army missions.
Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
The US Air Force and MIT renew contract for operating the federally funded R&D center, a long-standing asset for defense innovation and prototyping.
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.