Abstract: Traditional machine learning and data mining have made tremendous progress in many knowledge-based areas, such as clustering, classification, and regression. However, the primary assumption ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Abstract: Geometric Algebra (GA) has proven to be an advanced language for mathematics, physics, computer science, and engineering. This review presents a comprehensive study of works on Quaternion ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

When the Leiden Declaration on Artificial Intelligence and Mathematics went live on 2 June 2026, things moved quickly. The ...

By Harrison Tasoff, UCSB Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles to healthcare. But ...

For a child diagnosed with neuroblastoma-the most common infant cancer, occurring when early nerve cells grow out of control-the path to treatment isn't simple.

Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Yang-Hui He is a fellow at the London Institute for Mathematical Sciences in London, UK. Among mathematicians and theoretical physicists, artificial intelligence provokes a range of reactions. Some ...