The company behind ChatGPT is putting together a team capable of developing algorithms to control robots and appears to be ...
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 ...
NTT Research and Cornell Scientists Introduce Deep Physical Neural Networks Article in Nature Explains the Application of Physics-Aware Training Algorithm and Shares Results of Tests on Three Physical ...
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 ...
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 ...
RALEIGH – Researchers from North Carolina State University have developed a suite of algorithms to improve the performance of cyber-physical systems – from autonomous vehicles to smart power grids – ...
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 ...