Making AI-generated code more accurate in any language
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Inaugural cohort of Tecnológico de Monterrey undergraduates participate in immersive practicum at MIT featuring desktop fiber-extrusion devices, or FrEDs.
More than 1 million people are contributing their data to Vana’s decentralized network, which started as an MIT class project.
This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.
Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.
U.S. Air Force engineer and PhD student Randall Pietersen is using AI and next-generation imaging technology to detect pavement damage and unexploded munitions.
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
MIT undergraduates broaden their perspectives and prospects through political science.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.