Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...