- No Data
English
- English
- 简体中文
- 繁体中文
- Français
- Русский
- Italiano
- 日本語
- 한국어
- Português
- Deutsch
- Español
- Türkçe
- Ελληνικά
- Nederlands
- Tiếng Việt
- Polski
It is reported that researchers from Foshan University, the Institute of Chemical Defense of the Academy of Military Sciences, the National Defense Technology Key Laboratory of Equipment Remanufacturing Technology of the Armored Forces Academy, and Chengdu State owned Jinjiang Machinery Factory have summarized and reported the latest progress of machine learning in defect detection and prediction ...
The formation of dissipative solitons is influenced by various factors, such as spectral filtering effect and Kerr nonlinearity effect. This interaction leads to the possibility of mode locking on a large range of parameters, generating pulses with completely different types and evolution from conventional physical laws and optical properties, tolerating higher nonlinear effects, and effectively a...
Recently, the Advanced Laser and Optoelectronic Functional Materials Department of the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, has made progress in the research of Nd: ASL (Sr0.7Nd0.05La0.25Mg0.3Al22.7O19) laser crystals, and the related achievements were published in Infrared Physics&Technology under the title of "Tunable laser operations on Nd doped cont...
When electrons move in molecules or semiconductors, their time scale is unimaginably short. The Swedish German team, including Dr. Jan Vogelsang from the University of Oldenburg, has made significant progress in these ultrafast processes: researchers are able to track the dynamics of electrons released on the surface of zinc oxide crystals using laser pulses with nanoscale spatial resolution and p...
The current deep neural network system (such as ChatGPT) can quickly improve energy efficiency by 100 times in training, and "future improvements will greatly increase by several orders of magnitude. Scientists from MIT and other institutions have demonstrated a new optical neural network training method that can crush state-of-the-art electronic microprocessors.Moreover, the computational density...