A scientist combines attention neural networks with graph neural networks to better understand and design proteins. The approach couples the strengths of geometric deep learning with those of language ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...

The concept of a perception neural network was first described as early as the 1950s. However, it wasn’t until recently that the necessary training data, neural-network frameworks, and the requisite ...

In this paper, the VLSI implementation of a novel image interpolator for the real-time applications is presented. It is based on Probabilistic Neural Network (PNN) that adjusts automatically the ...

The design of chiral photonic structures using two machine learning methods for rapid optimization of optical properties for dielectric metasurfaces. June 8th, 2022 - By: Fraunhofer IIS/EAS Chiral ...

Though it might seem like science fiction, scientists are working to build nanoscale molecular machines that can be designed ...

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...