“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
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.
This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.
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.
A first history of the document security technology, co-authored by MIT Libraries’ Jana Dambrogio, provides new tools for interdisciplinary research.
Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.
MIT engineers propose a new “local electricity market” to tap into the power potential of homeowners’ grid-edge devices.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.