Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Researchers from Johns Hopkins APL and Johns Hopkins University have developed a practical, comprehensive noise-modeling ...

A recent study published in the Journal of Cultural Economics suggests that highly accurate content recommendation algorithms ...

A consensus algorithm is the rule a distributed network follows to agree on which new block is added to a blockchain, so every honest node ends up with the same ledger without trusting any single ...

In today’s code-driven era, C++ remains an unshakable cornerstone for many programmers due to its outstanding performance and wide-ranging applications. Whether in game development, system software, ...

This paper investigates a quadratic programming problem subject to fuzzy relation inequalities with the addition-min composition operator. Three different approaches for solving the problem are ...

This research was accepted by the 2023 International Conference on Learning Representations (ICLR) (opens in new tab), which is dedicated to the advancement of the branch of artificial intelligence ...

The Smith-Waterman algorithm is a dynamic programming algorithm to find the optimal alignment of two sequences. This repository provides a basic implementation of the Smith-Waterman algorithm that has ...