MIT trains AI to track people's movements through walls

In 2013, an MIT team found a way to see through walls using WiFi radio signals and in 2015 they could see well enough to identify individuals. Now, led by Dina Katabi from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), they’ve hooked the latest version, called RF-Pose, to an artificial intelligence (AI) neural network as a way to teach the system to deduce a person’s postures and movements even when completely hidden…
Continue Reading MIT trains AI to track people’s movements through walls

Category: Science


Artificial Intelligence


Radio Waves


Related Articles:

Beerbots demonstrate robotic collaboration by serving drinks in a makeshift bar

52 genes associated with intelligence discovered

Anybody out there? Musical message beamed to potentially-habitable exoplanet

SingularityNET previews its decentralized app store for AI

MIT’s AI deduces ingredients and recipes from food photos

GoPro trains neural net to think like a dog

The message will be closed after 20 s