Since it is compatible with CMOS processes of classic silicon technology, SiC would be ideal for the industrial mass ...

Researchers have developed a novel “Janus meta-imager” that uses diffractive neural networks to asymmetrically transmit and ...

Silicon carbide is for photonic circuits and quantum devices. Atomic layer processing boosts SiC waveguides and resonators, improving performance.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Silicon carbide (SiC) is a promising material platform for photonic integrated circuits (PICs) and miniaturized solid-state quantum systems. In the ALP-4-SiC project, researchers from the Max Planck ...

A team of researchers from Peking University, Beijing Institute of Technology, and the Chinese Academy of Sciences has developed a new optical device ...

This optical supercell traps sunlight, then amplifies its intensity up to 6,000×, creating a light surge scientists compare to thousands of panels ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

Industry leaders in film, music and technology gathered at the Future of Arts, Media and Entertainment (FAME) Conference to ...

A short Pentagon video released this week quietly signaled a major shift in how future wars may be fought. In a live-fire test conducted under the U.S. Department of Defense’s Swarm Forge initiative, ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...