From micro to macro
Insights on the formation of particle networks hold potential for engineering new and improved materials.
Insights on the formation of particle networks hold potential for engineering new and improved materials.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
After a personal loss led to a new perspective, Nancy Hua ’07 left a career in finance to start the company.
Digitally mapping informal transportation networks in developing cities can help them reach the United Nations' Sustainable Development Goals.
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Researchers have devised a faster, more efficient way to design custom peptides and perturb protein-protein interactions.
Climate-driven changes in phytoplankton communities will intensify the blue and green regions of the world’s oceans.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.
MIT’s Mark Vogelsberger and the Illustris project are honored by Germany's postal service with an official stamp.
PhD candidate seeks to discover how heat leaks from fusion plasmas.