The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate and solve ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum ...

Human reasoning discovers principles from the world and systematizes them into rule-based knowledge such as mathematical equations, medical treatment protocols, chemical synthesis pathways and ...

There are multiple well-known algorithms to solve a maze such as Depth-First Search (DFS), Breath-FIrst Search (BFS), and Dijkstra. This RTL code has been implemented using DFS which is a graph ...

Abstract: Artificial Neural Network (ANN) is frequently utilized for the development of behavioral models of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs). However, exhaustive ...

GRAMPA is a program to identify and place polyploidy events on a phylogeny and count duplications and losses in the presence of polyploidy. What follows is a brief ...

When synthesizing a gene with a long DNA sequence, it is usually necessary to divide it into several fragments. Based on these fragments, a set of oligonucleotides for gene assembly is produced. Each ...

Abstract: With the rise of data driven deep neural networks as a realization of universal function approximators, most research on computer vision problems has moved away from handcrafted classical ...