If you have ever watched an AI write code, search the web, and fix its own mistakes all on its own, you probably thought one of two things: "That is terrifying" or "I want to build that." This guide ...

This repository contains the Python code to reproduce the results of the paper dynoNet: A neural network architecture for learning dynamical systems by Marco Forgione and Dario Piga. In this work, we ...

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...

The Vision Transformer (ViT) has emerged as a powerful architecture for computer vision tasks, showing impressive performance on various benchmarks. In this article, we will dive into the ...

We demonstrate the use of machine learning through convolutional neural networks to solve inverse design problems of optical resonator engineering. The neural network finds a harmonic modulation of a ...

We introduce a bio-inspired navigation system for a robot to guide a social agent to a target location while avoiding static and dynamic obstacles. Robot navigation can be accomplished through a model ...

Abstract: The automatic image colorization technique has garnered a lot of attention over the past ten years for a variety of applications, including the restoration of old or damaged photos. Owing to ...

Interest in fundamental and applied research in photonics is steadily growing in recent years. Therefore, accelerated design and modelling tools are vital for disruptive improvement in the ...

Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimized deep neural network architectures to predict ...

Python has been steadily rising to become a top programming language. There are many reasons for this, including its extremely high efficiency when compared to other mainstream languages. It also ...