Seeing an elusive magnetic effect through the lens of machine learning
An MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation.
An MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation.
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
Veteran and PhD student Andrea Henshall has used MIT Open Learning to soar from the Air Force to multiple aeronautics degrees.
Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
Empowering a global community of learners in displacement.
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
Researchers surveyed 100 high-performing companies to determine which of them are leading adopters of machine intelligence and data analytics, and how they succeed.
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
A new machine-learning technique could pinpoint potential power grid failures or cascading traffic bottlenecks in real time.
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.