Everything, everywhere all at once
Cosmologist and MLK Scholar Morgane König uses gravitational waves to study the universe’s origins, inflation, and present trajectory.
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MIT’s Science Policy Initiative holds 13th annual Executive Visit Days
MIT students traveled to Washington to speak to representatives from several federal executive agencies.
New method uses crowdsourced feedback to help train robots
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
Students pitch transformative ideas in generative AI at MIT Ignite competition
Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.
Three MIT affiliates receive Schmidt awards
Jörn Dunkel and Surya Ganguli ’98, MNG ’98 receive Science Polymath awards; Josh Tenenbaum is named AI2050 Senior Fellow.
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.
Journey to the future of generative AI
MIT Generative AI Week will explore the latest cutting-edge research, along with the implications and possibilities of generative AI.
Five MIT affiliates receive awards from the American Physical Society
Professor Wit Busza, Instructor Karol Bacik, postdocs Cari Cesarotti and Chao Li, and Pablo Gaston Debenedetti SM ’81, PhD ’85 honored for contributions to physics.
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.
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.
Generating opportunities with generative AI
Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.