Robots are increasingly deployed in environments that are unsafe or inaccessible for humans, from collapsed buildings and underground tunnels to industrial sites and disaster zones. In many of these ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Firms integrating AI and machine learning into their investment processes are building compounding advantages that late adopters may never overcome.

The Dreame Aqua10 Ultra Roller had a very short run as the apex robot vacuum before being overthrown by another Dreame robot ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

"We’ve long had automation in our company’s vision and road map for the future," Buikema said. "As we focus on the small and ...

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

More frequent and intense weather phenomena like heat waves, windstorms, or atmospheric rivers often come in pairs and these ...

Menace's sophisticated combat punishes players that are unprepared. Before you start your campaign, learn from my mistakes.

When infectious diseases surge, response often comes down to timing: whether communities can position the right people and ...