Making art through computation
Master’s student Chelsi Cocking combines her love for computer science and design in her research and outreach efforts at the Media Lab.
Master’s student Chelsi Cocking combines her love for computer science and design in her research and outreach efforts at the Media Lab.
For MIT OpenCourseWare and MITx MicroMasters learner Michael Pilgreen, risk taking and hands-on learning opened new doors in finance.
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
A new computational model could explain differences in recognizing facial emotions.
The reshaped series will integrate a wide range of disciplines — from mathematics to critical race theory, from software art to queer theory — to understand the social and cultural implications of software.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
CSAIL scientists’ novel hardware attack against the Apple M1 chip defeats the last line of security while leaving no trace.
Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.