Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Physicists are rethinking how to detect elusive particles like neutrinos by combining existing technologies in unconventional ...

A deep learning-based antenna array synthesis method for varied aperture lengths is proposed in this article. Inspired by natural language processing (NLP), a tri-branched recurrent neural network ...

The soft bioelectrodes use a honeycomb-inspired design that allows researchers to stretch them onto the specific geometry of a patient’s brain, without sacrificing structural strength or sensitivity ...

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 ...

In the world of advanced materials, the ultimate goal is to create a substance that possesses the adaptability of biological tissue: it must be strong enough to maintain its shape, yet fluid enough to ...