The future of manufacturing won’t be written by machines alone. It will be written by people, using AI to extend what they ...

Real-time batch monitoring powered by machine learning is helping manufacturers detect deviations early to reduce failures, improve consistency and cut costs. By simulating cell and gene therapy ...

Smart manufacturing is evolving beyond traditional automation toward autonomous "lights-out" factories where digital twins ...

At the 2025 PDF Solutions Users Conference, CEO John Kibarian delivered a wide-ranging keynote that positioned the ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

Manufacturing facilities are facing challenges in maintaining efficiency while meeting increasing production demands. Allie AI — an artificial intelligence company — is working to redesign the ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Machine vision systems perform high-speed inspections with sub-millimeter precision, capturing images of every product for real-time AI analysis without fatigue or subjective judgment. Physical AI and ...

Manufacturers are using AI to adapt to a shifting business landscape. The technology is addressing labor shortages, among other uses. Experiments with AI are revealing new benefits and risks.

Intelligent process automation (IPA) represents a transformative approach combining robotic process automation (RPA), artificial intelligence (AI), and other advanced technologies to streamline ...

Testing an AI agent for donor tissue screening at Evergen surfaces more than technical performance questions. The project ...

The Rise of AP Automation in Manufacturing In today’s fast-paced and competitive manufacturing environment, AP automation is ...