Computer-aided knitting
New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.
New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.
Apps developed by MIT spinout Tulip help manufacturers augment employee production rather than automating it away.
Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.
General-purpose language works for computer vision, robotics, statistics, and more.
Lincoln Laboratory's technique to protect commodity software from cyberattacks has transitioned to industry and will soon be available as part of a security suite.
New tools can find patterns in vast online data to track and identify users on illicit forums.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Research projects show creative ways MIT students are connecting computing to other fields.
Robot’s lightweight, high-power design is the perfect platform to share and play, developers say.
System better allocates time-sensitive data processing across cores to maintain quick user-response times.
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.