When to trust an AI model
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
This new tool offers an easier way for people to analyze complex tabular data.
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
In her new book, “Counting Feminicide,” D’Ignazio explores how activists have tabulated the epidemic of gender-based murder in Latin America.
The dedicated teacher and academic leader transformed research in computer architectures, parallel computing, and digital design, enabling faster and more efficient computation.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
With their “T-REX” method, DNA embedded in the polymer could be used for long-term storage of genomes or digital data such as photos and music.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.
Twelve finalists participated in initiative and 2023-24 MIT-Royalty Pharma Prize Competition, designed to support female biotech pioneers.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.