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.
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.