Study: Flying keeps getting safer
Reflecting a “Moore’s Law of aviation,” commercial flight has become roughly twice as safe each decade since the 1960s; Covid-19 added a wrinkle, however.
Reflecting a “Moore’s Law of aviation,” commercial flight has become roughly twice as safe each decade since the 1960s; Covid-19 added a wrinkle, however.
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
Scientists created the step-by-step guide to unlock the potential of NASA’s James Webb Space Telescope for identifying habitable worlds in the universe.
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
A new technique enables users to compare several large models and choose the one that works best for their task.
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
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.