Quantum simulations that bypass resolution limits offer insights into high-temperature superconductivity

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...
IEEE

VLSI Architecture of High Throughput Processing Unit for Efficiently Executing 2D Convolution for Deep Neural Network based Applications

Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...