Synthetic imagery sets new bar in AI training efficiency
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.
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Electrical engineering and computer science (EECS)
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Aging Brain Initiative symposium showcases “cutting-edge” research across MIT
Seed projects, posters represent a wide range of labs working on technologies, therapeutic strategies, and fundamental research to advance understanding of age-related neurodegenerative disease.
A new ultrasound patch can measure how full your bladder is
The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.
Technique enables AI on edge devices to keep learning over time
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
This 3D printer can watch itself fabricate objects
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
Computational imaging researcher attended a lecture, found her career
A pivotal talk led postdoc Kristina Monakhova to develop smart, computational cameras and microscopes for intelligent systems.
Professor Emeritus Walter Hollister, an expert in flight instrumentation and guidance, dies at 92
The lifelong athlete, pilot, aviation enthusiast, and educator taught at the Institute for 40 years.
Explained: Generative AI
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
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.
Reflecting on a decade of SuperUROP at MIT
Ten years after the founding of the undergraduate research program, its alumni reflect on the unexpected gifts of their experiences.
Using language to give robots a better grasp of an open-ended world
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.
2023-24 Takeda Fellows: Advancing research at the intersection of AI and health
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Forging climate connections across the Institute
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
A new record for Math Prize for Girls wins
Twelfth grader Jessica Wan three-peats, as MIT hosts the 15th competition for female middle and high school math enthusiasts.
New techniques efficiently accelerate sparse tensors for massive AI models
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.