As prediction markets boom, competition is heating up. So traders go the extra mile for a fraction-of-a-second advantage or ...

ChatGPT’s transformer model vs Atomesus AI’s hybrid architecture: a technical comparison for enterprise AI use.

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

It's officially basketball season. Football season ended last weekend, with the Seattle Seahawks topping the New England Patriots, 29-13, in the Super Bowl. The Seahawks won their second Super Bowl in ...

Prediction markets such as Polymarket and Kalshi let users win money by correctly guessing the outcome of practically any event.

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 ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

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