The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...

Seeking to explore the capabilities of neural networks for recognizing and predicting motion, a group of researchers led by Hehe Fan developed and tested a deep learning approach based on relative ...

All the Latest Game Footage and Images from Anlife: Motion-Learning Life Evolution Intervene in the evolution of virtual lifeforms that learn to move in a world powered by a physics engine. This world ...

STMicroelectronics’ LSM6DSOX iNemo inertial sensor has a machine-learning core to classify motion data based on known patterns to enhance activity tracking in smartphones and wearables. Relieving the ...