|
Artificial intelligence | MIT News | Massachusetts Institute of Technology
Making AI models more trustworthy for high-stakes settings A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
“Periodic table of machine learning” could fuel AI discovery
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to improve algorithms or create new ones.
Introducing the MIT Generative AI Impact Consortium
The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry.
Algorithms and AI for a better world - MIT News
MIT Assistant Professor Manish Raghavan uses computational techniques to push toward better solutions to long-standing societal problems.
Aligning AI with human values - MIT News
MIT senior Audrey Lorvo's research into AI safety aims to reduce risks associated with artificial intelligence, its implementation, and human impacts.
MIT researchers introduce generative AI for databases
Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Graph-based AI model maps the future of innovation - MIT News
The new AI approach uses graphs based on methods inspired by category theory as a central mechanism to understand symbolic relationships in science. This Illustration shows one such graph and how it maps key points of related ideas and concepts.
“An AI future that honors dignity for everyone” - MIT News
Ben Vinson III, president of Howard University, made a compelling call for AI to be “developed with wisdom,” as he delivered MIT’s annual Karl Taylor Compton Lecture.
MIT researchers develop an efficient way to train more reliable AI ...
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforcement learning across a wide range of applications.
|
