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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...
Recently, the team of Yang Tao-Yang Xiaoguang, a researcher at the Key Laboratory of Materials Science of the Institute of Semiconductors of the Chinese Academy of Sciences, and Lu Dan, a researcher, together with Ji Chen, a professor at the Zhijiang Laboratory of Zhejiang University, have made important progress in the research of high-power, low-noise quantum dot DFB single-mode lasers.Distribut...
A recent study conducted by the Hebrew University suggests an undiscovered relationship between magnetism and light. This discovery may pave the way for extremely fast optical storage technology and creative optical magnetic sensor technology.It is expected that this discovery will completely change the way equipment is manufactured and data is stored in a range of fields.Amir Capua, Professor and...
When running various artificial intelligence programs such as large language models, although data centers and high-performance computers are not limited by the computing power of their individual nodes, the amount of data transmitted between nodes is currently the root cause of the limitations on the performance and bandwidth transmission of these systems.Because some nodes in the system are more...
Recently, the team led by Academician Guo Guangcan from the University of Science and Technology of China has made significant progress in the research of quantum elliptical polarization imaging. The research group of Professor Shi Baosen and Associate Professor Zhou Zhiyuan combined high-quality polarization entangled light sources with classical polarization imaging technology to observe the bir...