By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
AI models that prioritize similarity falter when asked to design something completely new.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.