Under the supervision of Professor Dina Katabi from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), her team has continually made progress in making an AI device with X-ray vision.
Over the last decade, Professor Dina Katabi from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and her research group has got us closer to seeing through walls. They have been working on a project named “RF-Pose” which uses AI to train wireless devices to sense people’s postures and movement through the wall. “RF-Pose” uses a neural network to analyze radio signals bouncing off people’s bodies to produce the stick figures that illustrate the people behind the wall. The application of this technology is vast, it can be applied to healthcare services, search-and-rescue operations, monitoring environments, etc.
Opportunities will be open for new applications through the 7th layer and 6th layer of AI World Society model.