The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

Napa County in mid-2026 will dive into discussions of how to shape the future of the county through an update to its general ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen years of experience across retail, supply chain, finance, and large-scale ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

It seems that every day brings a new artificial intelligence solution to health care, with providers able to automate myriad ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...