Laser powder bed fusion (LPBF) is revolutionizing metal 3D printing, but ensuring consistent quality is still a challenge. Researchers are now using AI and machine learning to monitor melt pools, ...

This follow-up column examines how supply chain control towers are evolving from visibility dashboards into AI-powered ...

Today, JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with ...

AI-powered greenhouse systems now integrate predictive analytics, IoT sensors, and deep learning to fine-tune temperature, humidity, and CO₂, improving energy efficiency and plant growth. Studies show ...

Enterprise workflows are undergoing a dramatic shift as AI integration has accelerated. Expect to see that momentum build at ...

Discover how quality-driven drug development and AI accelerate safer medicines, reduce risk, and improve patient outcomes.

Perception: with the use of deep learning, AI robots can perceive and respond to their environments.This enables a variety of ...

A table tennis robot has outperformed elite players in recent evaluations. The robot, called Ace, marks a significant step ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Apparent neural encoding of future words may arise from the statistical structure of language itself, rather than from predictive computations in the brain.

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...