Using AI to optimize for rapid neural imaging
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
Ten years after the founding of the undergraduate research program, its alumni reflect on the unexpected gifts of their experiences.
As an engineer and an EMT, senior Abigail Schipper works to make medicine more accessible to all.
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
Noya has developed low-power, modular units that can be combined to create facilities for removing millions of tons of CO2 from the atmosphere.
Graduate student Adi Mehrotra ’22 is developing sustainable solutions in vehicle design.
An expert on the environmental impacts of aviation, Barrett succeeds Daniel Hastings as department head.
A newly identified process could explain a variety of natural phenomena and enable new approaches to desalination.
Twelfth grader Jessica Wan three-peats, as MIT hosts the 15th competition for female middle and high school math enthusiasts.
Actuating grafts appears to turn on cell signals related to the growth of new blood vessels and nerves, a promising finding for restoring mobility in muscle lost through disease or trauma.
The approach directly converts the greenhouse gas into formate, a solid fuel that can be stored indefinitely and could be used to heat homes or power industries.
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.