The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

In-chip monitoring restores trust through predictive maintenance that can identify and correct errors in real time.

In 2026, manufacturers facing a severe labor gap and rising costs are rapidly adopting AI-driven robotics, cobots, and predictive maintenance to sustain productivity. From intelligent human–robot ...

OCT is a non-destructive imaging technique that evaluates food quality, detecting microstructural changes and ensuring safety ...

By incorporating all three technologies—metal detector, checkweigher and vision inspection—within a single, fully integrated 2.5 metre stainless steel frame, the Fortress Technology Raptor Tritek ...

Autonomous and robotic systems rely on highbandwidth, lowlatency sensor data to perceive and navigate the world.

Researchers from The University of Osaka, Kyushu University, and the University of Victoria have developed a new method ...

Weekly cybersecurity recap covering zero-days, malware, phishing, supply chain attacks, cloud threats, AI security risks, and ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including ...

Before AI, the gap between "code-written" and "code-validated" was manageable. Now, AI can generate in minutes what a team ...