Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

The Vector Institute and Intellectual Property Ontario (IPON) have signed a memorandum of understanding (MOU) to enhance ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

AI research labs are becoming the primary source for new foundational models and infrastructure optimisation innovations.

A new technical paper titled “Cyber Threat Detection Enabled by Quantum Computing” was published by researchers at Johns ...

This is the Best of the Week. Voices from the Analytical Front Line: Bingchuan Wei on Chromatography in 2026 In the year 2026, chromatography is undergoing a series of advancements and challenges.

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...