Algorithms & Theory AI & ML Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless June 27 '19 CSAIL hosts first-ever TEDxMIT Speakers — all women — discuss everything from gravitational waves to robot nurses CSAIL hosts first-ever TEDxMIT
Research Group Clinical Decision-Making Group We focus on furthering the application of technology and artificial intelligence in medicine and health-care. +11 Peter Szolovits Leads Peter Szolovits Research Areas AI & ML Computational Biology Impact Areas Cybersecurity Health Care Manufacturing Lead Peter Szolovits +11 Peter Szolovits
Research Group Sussman Lab We focus on understanding the problem-solving strategies used by scientists and engineers, with the goals of automating parts of the process and formalizing educational methods. Gerald Sussman Leads Gerald Sussman Research Areas AI & ML Programming Languages & Software Engineering Systems & Networking Impact Areas Education Manufacturing Lead Gerald Sussman Gerald Sussman
Algorithms & Theory AI & ML Graphics & Vision Programming Languages & Software Engineering Systems & Networking Entertainment Manufacturing August 05 '19 Computer-aided knitting New CSAIL research uses machine learning to customize clothing designs Computer-aided knitting
Algorithms & Theory AI & ML Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless June 27 '19 CSAIL hosts first-ever TEDxMIT Speakers — all women — discuss everything from gravitational waves to robot nurses CSAIL hosts first-ever TEDxMIT
AI & ML Graphics & Vision Systems & Networking Health Care Manufacturing June 18 '19 Teaching artificial intelligence to connect senses like vision and touch MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects. Teaching artificial intelligence to connect senses like vision and touch
