Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.

Telecom companies should invest in sophisticated anti-fraud tools that employ machine learning and Artificial Intelligence (AI) to enhance detection and response times while conducting regular audits ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Humanoid robots are rapidly improving in motion fluidity, making them more human-like and suitable for complex tasks.

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...