Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

This year's gongs went to projects including AI fraud detection, a marine-debris initiative, and a DSS geospatial tool for grants allocation.

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically. Classic models like regression, decision trees, and KNN remain important in modern AI ...

A study published Wednesday shows that the early U.S. death toll during the COVID-19 pandemic was higher than previously recorded. The journal Science Advances found that more than 155,000 ...

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial connectomes in mammals, involving the mapping of the network of neurons and ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

At Pittcon 2026 in San Antonio, Dr. Lenka Halámková of Texas Tech walked through a multimodal workflow that combines Raman ...

New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an ...

The air conditioning industry is navigating an accelerated transition away from high global warming potential (GWP) ...

With Raman microscopy, there's an additional layer of complexity: fluorescence. Particle fluorescence can overwhelm the Raman signal and make routine analysis more challenging. In comparison, IR ...