Researchers from MIT CSAIL have developed an AI capable of detecting movement through walls using just RF wireless signals. CSAIL (Computer Science and Artificial Intelligence Laboratory) is based at the Massachusetts Institute of Technology with the goal of'pioneering new approaches to computing that will bring about positive changes in the way people around the globe live, play, and work.' The researchers' latest development, RF-Pose, uses a neural network in combination with simple RF wireless signals to sense the movement of people behind obstacles such as walls. Furthermore, it can even determine their posture. RF-Pose's neural network was trained using examples of people's on-camera movement and how their bodies reflected the RF signals.
You don't need exotic radar, infrared or elaborate mesh networks to spot people through walls -- all you need are some easily detectable wireless signals and a dash of AI. Researchers at MIT CSAIL have developed a system (RF-Pose) that uses a neural network to teach RF-equipped devices to sense people's movement and postures behind obstacles. The team trained their AI to recognize human motion in RF by showing it examples of both on-camera movement and signals reflected from people's bodies, helping it understand how the reflections correlate to a given posture. From there, the AI could use wireless alone to estimate someone's movements and represent them using stick figures. The scientists mainly see their invention as useful for health care, where it could be used to track the development of diseases like multiple sclerosis and Parkinson's.
The UK is introducing high-tech road signs to crack down on phone use while driving. Using your phone while driving in the UK? Expect a warning from a smart road sign, at least if you're in Norfolk. The county is introducing road signs that use scanners to electronically detect the radio signals transmitted when mobile phones are connected to a call--and then flash a symbol (on a sign further down the road) showing a cellphone with a line through it to the offending driver to remind him or her such behavior is a no-no. The scanners differentiate between radio signals from cellphones and Bluetooth signals, so drivers using a hands-free Bluetooth connection to talk on their phones won't get a warning, the Telegraph reports. But some phone users may get through, as the scanners won't pick up data connections from drivers using internet service on their phones.
Two U.S. government sources familiar with official assessments of North Korean capabilities and activities said that while they were not immediately familiar with recent intelligence suggesting that North Korea was preparing to launch a new missile test, the U.S. government would not be surprised if such a test were to take place in the very near future.
The ability to see what's happening on the other side of a wall or in another room has always been an aspect of science fiction. We don't have a technology good enough to see directly through walls, but thanks to the power of machine intelligence, a group of researchers at MIT, Massachusetts, is inching closer to turn that case into reality. The team at MIT Computer Science and Artificial Intelligence Laboratory is working on a project called RF-Pose. As part of this effort, they are using an AI-based system to sense the movement or posture of a person on the other side of a wall. Essentially, as a person moves, walks, sits, jumps, or stops behind a wall, the neural network analyzes the radio signals bouncing off his/her body and generates confidence map using it.