Mit Csail News Today

Associate Professor Jonathan Ragan-Kelley, an MIT-IBM Watson AI Lab and CSAIL researcher, optimizes how computer graphics and images are processed for the hardware of today and tomorrow. Ragan-Kelley specializes in high-performance, domain-specific programming languages and machine learning.

Professor Julie Shah, an expert in robotics and AI, has been named head of the MIT Department of Aeronautics and Astronautics.

A new study demonstrates the efficacy of Brave Behind Bars, an MIT-led web programming course aimed at reducing recidivism by teaching incarcerated individuals digital skills, with significant improvements in self-efficacy and digital literacy noted.

MIT engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team’s method connects robot motion data with the common sense knowledge of large language models, or LLMs.

A computational imaging algorithm reveals that ambient light sensors, which are passive components embedded in the screens of smart devices to alter monitor brightness, pose an imaging privacy threat by exposing users’ touch interactions to hackers, MIT researchers find.

PRISM, developed by MIT CSAIL, is a pancreatic cancer risk prediction model using a vast, federated network of electronic health records from numerous U.S. healthcare organizations.

MIT researchers propose modeling regulation of AI in health after the existing aviation regulatory system.

MIT's HiP system helps robots complete long-horizon goals using three foundation models: a large language model, a video diffusion model, and an egocentric action model. Iterative refinement improves the plan at each step for household and manufacturing tasks.

A novel dataset metric, minimum viewing time (MVT), gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.

During its Generative AI Week in November 2023, MIT hosted symposia and events aimed at examining the implications and possibilities of generative artificial intelligence.