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.
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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.
Generating opportunities with generative AI
Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.
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.
The brain may learn about the world the same way some computational models do
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
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.
Accelerating AI tasks while preserving data security
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
Celebrating Kendall Square’s past and shaping its future
The 15th Kendall Square Association annual meeting explored new and old aspects of the neighborhood.
Opening pathways for future supply chain leaders
Maria Jesus Saenz of the MIT Center for Transportation and Logistics is dedicated to advancing future leaders, and to supporting women, in supply chain management.
To excel at engineering design, generative AI must learn to innovate, study finds
AI models that prioritize similarity falter when asked to design something completely new.
Institute Professor Daron Acemoglu Wins A.SK Social Science Award
The award honors research on public policy with a focus on economic and governmental reforms.
New technique helps robots pack objects into a tight space
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
A method to interpret AI might not be so interpretable after all
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
Solve Challenge Finals 2023: Action in service to the world
Global platform showcases social innovation technology and global leadership.