Physical world AI, or autonomous machines' situational awareness, is improving thanks to data and cloud-edge systems, writes ...
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
A Cornell research group led by Prof. Peter McMahon, applied and engineering physics,has successfully trained various physical systems to perform machine learning computations in the same way as a ...
Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the ...
When scientists make the thin metal films used in electronics, optics, and quantum technologies, they usually spend months ...
Synthesis using physical modeling has a long history. As computational costs for physical modeling synthesis are often much greater than for conventional synthesis methods, most techniques currently ...
Men may need nearly twice as much weekly exercise as women to achieve the same heart health benefits. A large study found ...
A study published in Engineering introduces an innovative high-precision aerosol algorithm for geostationary meteorological satellite. Entitled “A Deep-Learning and Transfer-Learning Hybrid Aerosol ...