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 ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Don't miss Part I of this article: "Simple Machine" Ask teachers of Chinese language to name a resource they lack, and chances are they will answer: “time.” Flipped learning, using online sessions to ...

Stop motion animation is notoriously difficult to pull off well, in large part because it’s a mind-numbingly slow process. Each frame in the final video is a separate photograph, and for each one of ...

Laika, the stop motion animation studio behind films like Coraline and Kubo and the Two Strings, isn't afraid to embrace new technology. We chronicled how it used 3D printing to add a whole new level ...

A deep-learning powered single-strained electronic skin sensor can capture human motion from a distance. The single strain sensor placed on the wrist decodes complex five-finger motions in real time ...

With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...

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 ...

Wonky Games has announced the development of Language Adventure, a stop-motion animated language learning adventure game. The game follows the story of an alien spaceship that crashes in the player's ...