#Research featured by MIT News Home | REALM | Our Research | #Research featured by MIT News MIT News This “smart coach” helps LLMs switch between text and code The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain. Inroads to personalized AI trip planning A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas. Learning how to predict rare kinds of failures Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles. Researchers teach LLMs to solve complex planning challenges This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems. MIT engineers help multirobot systems stay in the safety zone MIT engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments. MIT engineers are on a failure-finding mission The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids. A step toward safe and reliable autopilots for flying A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability. MIT engineers devise a recipe for improving any robotic system A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
