MIT students who participated in the pilot program developed tools to rapidly screen for novel biosynthetic capabilities.
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
The nodes are intended to become part of a widespread sea-ice monitoring network.
Staff members receive recognition for their exceptional support of the MIT community.
In a retrospective talk spanning multiple decades, Professor Al Oppenheim looked back over the birth of digital signal processing and shared his thoughts on the future of the field.
The award recognizes his contributions as director of MIT Lincoln Laboratory and as vice chair and chair of the Defense Science Board.
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.
The advance offers a way to characterize a fundamental resource needed for quantum computing.
Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.
Professors Berggren, Campbell, Pollock, and Vaikuntanathan are honored for exceptional undergraduate teaching.
With Project MADMEN, two MIT students experience the challenges and bonding associated with a Mars analog mission.
Achievements in air traffic control, microelectronics, and lasers are recognized for their lasting benefit to humanity.
Lincoln Laboratory–developed Timely Address Space Randomization (TASR) was transferred to two commercial providers of cloud-based services.
MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.