Figure AI’s latest Helix 02 demo shows a humanoid robot autonomously tidying a living room, highlighting full-body control, tool use, and adaptive cleanup.

Museums like the Smithsonian and Natural History Museum are using digital transformation to turn massive legacy collections into accessible, collaborative research tools.

If you've ever had to spell out words like W-A-L-K or T-R-E-A-T around a dog, you know that some dogs listen in to humans' chitchat and can pick out certain key words. Well, it turns out that some ...

Eavesdropping on their owners seems to help some toy-crazy and talented pups learn more words. Eavesdropping on their owners seems to help some toy-crazy and talented pups learn more words. Miso, a ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

Instructional design has become a popular and valuable role in the worlds of business, education and government across the globe. So, what is instructional design? It’s the process of creating and ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

At a time when adult education is being digitized at breakneck speed, a counter-trend is asserting itself: that of a return to the body, to materiality and to objects as living supports for learning.

A dual-network hydrogel (PGEH) cross-linked via liquid metal induction was developed exhibiting remarkable mechanical properties and skin-temperature-triggered on-demand adhesion capabilities. The ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...