Convolutional neural networks (CNNs) have proven to be highly effective in various domains, including computer vision, natural language processing, and speech recognition. However, training these networks can be a time-consuming and resource-intensive process. The need for faster and more efficient… Continue Reading →
Functional Renormalisation Group (FRG) has emerged as a powerful technique for studying complex physical systems. In a recent research article titled “Ising Exponents from the Functional Renormalisation Group,” Daniel F. Litim and Dario Zappalà employ FRG to investigate the 3D… Continue Reading →
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