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 Sensing, Learning and Inference We develop scalable algorithms for analysis of complex, high-dimensional data. +6 John Fisher Leads John Fisher Research Areas AI & ML Graphics & Vision Robotics Impact Areas Big Data Energy Internet of Things Lead John Fisher +6 John Fisher
Project Computational Multicopter Design Computer Graphics Group A system that can help you to design our own drone! Tao Du Leads Tao Du Research Areas Graphics & Vision Robotics Impact Areas Energy Manufacturing Transportation Tao Du
PI Core/Dual John Fisher Senior Research Scientist Vision, machine learning, signal processing E fisher@csail.mit.edu T 253-0788 RM 32-D468 Lead Vision Group Sensing, Learning and Inference Member Visual Computing Community of Research Vision, machine learning, signal processing
Michael Foshey Mechanical Engineer/Project Manager Additive Manufacturing, Robotics, Digital Fabrication E mfoshey@mit.edu RM 32-321 Additive Manufacturing, Robotics, Digital Fabrication
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
Algorithms & Theory AI & ML Graphics & Vision Energy Entertainment Manufacturing December 10 '18 Teaching machines to see in 3-D CSAIL’s approach uses algorithms and “2.5-D” sketches to let computers visualize images from any perspective Teaching machines to see in 3-D
