How AI is improving simulations with smarter sampling techniques
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
David Singer, head of the MIT Department of Political Science, discusses the Strengthening Democracy Initiative, focused on the rigorous study of elections, public opinion, and political participation.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
The program will invite students to investigate new vistas at the intersection of music, computing, and technology.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.
Undergraduate engineering is No. 1; undergraduate business and computer science programs are No. 2.
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
The major effort to accelerate practical climate change solutions launches as its mission directors meet the Institute community.
“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.
New STUDIO.nano supports artistic research and encounters within MIT.nano’s facilities.
“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.
Computer scientist who specializes in database management systems joins the leadership of the Department of Electrical Engineering and Computer Science.