Imagine a 100GB movie in a text! Anthony Ravenberg's quantum compression shatters limits, offering extreme data reduction and quantum-resistant security.

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

As a strategic partner, Broken String and BioLizard worked closely with Moore Grants & Incentives (MGI) to help shape the project in line with their ambitions, contributing not only to the funding ...

Discover what cryptographic hash functions are, how they work, and where they’re used. Learn about secure hashing algorithms ...

Hierarchical clustering is of great importance in data analysis. Although there are a number of hierarchical clustering algorithms including agglomerative methods, divisive methods and hybrid methods, ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug discovery.

Algorithms implemented in the Data Structures and Algorithm Complexity discipline.

Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...

A comprehensive collection of Data Structures and Algorithms implemented in C. Includes Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching algorithms with detailed explanations and code.