Ford Pro is leveraging AI and data to shift routine maintenance from when the service shop is open to whenever the vehicle is idle, promising fleets unprecedented uptime and ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

In the field of plant and equipment management, the principle that 'prevention is better than cure' has long been a fundamental guideline.

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Snowflake and TVS Next partner to help manufacturers unify plant and enterprise data, enabling predictive insights, AI-led ...

Coordinated multi-agent AI workflows can shift industrial operations from reactive firefighting into proactive, financially ...

Artificial intelligence systems have big environmental costs but are also finding ways to save energy and water, cut ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Cutting-edge robotics, AI-driven vision systems and modular tooling are helping cannabis packaging automation to meet unique ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

In 2026, artificial intelligence has shifted from a revolutionary experiment to the unavoidable operating layer of the modern enterprise. It is no longer just a peripheral tool for efficiency; it has ...