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Recently, scientists from the National Ignition Facility at Lawrence Livermore National Laboratory in California produced a burst of energy by bombarding hydrogen pellets with 192 laser beams, briefly reproducing the fusion process that powers the sun. This is a repeat of an experiment in December last year, but this time the scientists generated more energy, with a gain almost double that of the ...
Recently, Professor Xu Tingfa's research team from the School of Optoelectronics at Beijing Institute of Technology and Assistant Professor Lin Xing's team from Tsinghua University jointly developed a new type of Opto Intelligence Spectrometer (OIS). The device is based on diffractive neural network technology and achieves precise spectral reconstruction under spatially coherent or spatially incoh...
Recently, the research team of the Special Glass and Fiber Research Center of the Advanced Laser and Optoelectronic Functional Materials Department of the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, aimed at the demand for in-situ detection of Raman signals, expanded the functions of the laboratory commercial Renishaw Invia confocal micro Raman spectrometer by usi...
Researchers at the Max Planck Institute for Material Structure and Dynamics (MPSD) in Hamburg, Germany, have long been exploring the effect of using custom laser drivers to manipulate the properties of quantum materials to deviate from equilibrium states.One of the most eye-catching demonstrations of these physics is unconventional superconductors, where enhanced electron coherence and super trans...
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...