A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Deep learning technology designed to enhance the recovery of inclusion-type ores that are difficult to detect using ...

The authors argue that the current digital attention economy is an outcome of intentional design rooted in the business models of major technology platforms. Social media apps, content platforms, and ...

HOUSTON — Artificial intelligence is beginning to behave more like humans—and that could mean it’s starting to evade our ...

Traditional industrial vision systems face resolution, environmental and processing limitations. Cloud-centralized, ...

Transforming manufacturing, digital twins integrate AI and real-time data, optimizing processes and enabling proactive ...

Despite the recent announcement from the Department of Defense (DoD), I posit that Artificial Intelligence (AI) cannot ...

In modern hospitals, timely and accurate decision-making is essential—especially in radiology, where contrast media consultations often require rapid ...

The thing about a trend is, sometimes it’s over even before it’s begun. Two dueling headlines about AI agents illustrate the ...

Imagine moving a robotic hand just by thinking. Scientists at Carnegie Mellon University have taken a big step toward making ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s transformative benefits for the future, looking at the impacts that separation ...

Nine scientists from academia and industry offer their take on the crucial skills tomorrow’s scientists will need to thrive ...