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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...
In a significant leap in quantum nanophotonics, a team of European and Israeli physicists introduced a new type of polarized cavity and redefined the limits of light confinement. This groundbreaking work was detailed in a study published yesterday in Natural Materials, showcasing an unconventional photon confinement method that overcomes the traditional limitations of nanophotonics.For a long time...
Recently, the Cold Molecular Ion Research Group of the Institute of Precision Measurement has made significant progress in the loading, trapping, and recognition of thorium ions. The related research results have been published as cover and selected articles in the international physics journal Journal of Applied Physics, titled "Loading and identifying variable charged thorium ions in a linear io...
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...
One vision for computing the future is to use ripples in magnetic fields as the fundamental mechanism. In this application, magnetic oscillators can be comparable to electricity and serve as the foundation of electronic products.In traditional digital technology, this magnetic system is expected to be much faster than today's technology, from laptops and smartphones to telecommunications. In quant...