Articles

The prospect of monitoring our health and wellbeing from inside the home is one of the more fascinating developments in health technology. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has made a fascinating breakthrough that might allow them to capture this data through walls.

Their work, which is known as RF-Pose, utilizes AI to allow wireless devices to monitor and understand people’s postures and movements, even when a wall separates them. A neural network has been developed to analyze radio signals that bounce off of our bodies, with the software then able to create dynamic stick figures that replicate our movement.


Source de l’article sur DZONE (AI)

Artificial General Intelligence (AGI) should be able to see. In particular, it should be able to recognize objects and to learn to recognize new classes of objects from as few examples as possible.

This means that it should generalize. How would that work?


Source de l’article sur DZONE (AI)