Deep-learning technique predicts clinical treatment outcomes
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
Q&A: What makes a bestselling textbook?
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.
Robotic cubes shapeshift in outer space
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
A security technique to fool would-be cyber attackers
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
Credit card-sized device focuses terahertz energy to generate high-resolution images
The advance may enable real-time imaging devices that are smaller, cheaper, and more robust than other systems.
A new atlas of cells that carry blood to the brain
Single-cell gene expression analyses of human cerebrovascular cells can help reveal new drug targets for Huntington’s disease.
The sound of a sunset
The Digital Humanities Lab unveils its Sonification Toolkit, which enables conversion of almost anything — from data to drawings — into sound.
A new programming language for high-performance computers
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
An explorer in the sprawling universe of possible chemical combinations
Heather Kulik embraces computer models as “the only way to make a dent” in the vast number of potential materials that could solve important problems.
New computational tool predicts cell fates and genetic perturbations
The technique can help predict a cell’s path over time, such as what type of cell it will become.
MIT experts test technical research for a hypothetical central bank digital currency
Collaboration with Federal Reserve Bank of Boston yields progress in understanding how a digital currency might be developed in the future.
The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
Fast-tracking the search for energy-efficient materials
Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.
Professors Elchanan Mossel and Rosalind Picard named 2021 ACM Fellows
Fellowship honors ACM members whose accomplishments drive innovation and make broader advances possible.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.