The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

AI has taken off, the problem is that is requires a large amount of electricity to stay powered. Nuclear energy can solve this issue.

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

After seven years of developing the mental health artificial intelligence for providers and payers and investing in ...

Even in the best-case scenario, it’s incredibly disruptive. And this is where you’ve been quoted saying that A.I. will disrupt 50 percent of entry-level white-collar jobs. On a five-year time horizon, ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Generative artificial intelligence (GenAI) has shown significant potential in higher education, yet there is considerable debate over its effectiveness in enhancing undergraduate learning ...