This machine-learning system can simulate how a listener would hear a sound from any point in a room.
Antonio Torralba
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
Intelligent carpet gives insight into human poses
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Tactile textiles sense movement via touch
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
Advancing artificial intelligence research
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.
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.
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Artificial intelligence senses people through walls
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”