Personalizing wearable devices

When it comes to soft, assistive devices the wearer and the robot need to be in sync. But every human moves a bit differently and tailoring the robot’s parameters for an individual user is a time-consuming and inefficient process. Now, researchers have developed an efficient machine learning algorithm that can quickly tailor personalized control strategies for soft, wearable exosuits.
Personalizing wearable devices

Artificial intelligence techniques reconstruct mysteries of quantum systems

The same techniques used to train self-driving cars and chess-playing computers are now helping physicists explore the complexities of the quantum world. For the first time, physicists have demonstrated that machine learning can reconstruct a quantum system based on relatively few experimental measurements. This method will allow scientists to thoroughly probe systems of particles exponentially faster than conventional, brute-force techniques.
Artificial intelligence techniques reconstruct mysteries of quantum systems