Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...

TL;DR: Sony and AMD's Project Amethyst introduces Neural Arrays, Radiance Cores, and Universal Compression to enhance next-gen PlayStation consoles like the PS6. These technologies optimize GPU ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...

Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, Funabashi, Chiba, Japan Easing the behavioral restrictions of those in need of care not only ...

The earthquake simulation shaking table array is an important experimental equipment with a wide range of applications in the field of earthquake engineering. To efficiently address the complex ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...