Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A series of recent observations is bringing the large-scale dark matter scaffolding of the cosmos into sharper observational focus, using techniques that range from gravitational lensing to radio ...

Introduction Cardiovascular disease is one of the most common health issues facing the older population, and the number of older adults undergoing cardiac surgery is expected to increase.

This is an important study that identifies the developmental time window during which re-expression of TCF4 mutated in Pitt-Hopkins syndrome, can rescue phenotypic features of brain function in a TCF4 ...

The global silicon tetrachloride market is experiencing steady, robust growth driven by its critical role as a precursor in the production of high-purity polysilicon for electronics and solar ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Andy Smith is a Certified Financial ...

Abstract: A novel integration scheme is proposed for the accurate numerical evaluation of test (reaction) integrals needed for solving complex direct or inverse electromagnetic problems using surface ...

Technical trading uses historical data patterns to forecast stock trends. Learn about techniques like momentum and trend ...

Conor McCoid received the 2022 Henri Fehr Prize awarded by the journal L'Enseignement Mathématique, for his thesis:'' Towards ...