Lawrence Livermore’s camera-based inspection system measures 3D-printed strands layer by layer. We read the npj Advanced Manufacturing paper behind it: 13,797 labelled images, a 3.40 µm error that becomes 7.48 µm against the identity line, a 25 cm cushion that exposed a tilted build plate, and a 100,000x speed claim the paper never states.
A 14-page paper from the School of Art at East China Jiaotong University became the headline “AI-powered VR helps planners design better cities”. We read its 225-word abstract and the publisher’s 215-word research note. The abstract reports four measured results, including a 0.034-metre median geometric error. The note quotes none of them, and neither text says any planner used the tool.
AI digital twins — large language models configured to answer questions as one specific, real, named human being — have quietly become one of the most attractive ideas in social science. Feed a model everything a person has ever told you about themselves, the pitch goes, and it will answer the next question the way […]
Caterpillar has spent more than three decades running autonomous machines at remote mining sites, and CTO Jaime Mineart now says that experience is the template for how the company deploys AI. This piece covers the 8.6 billion tonnes hauled autonomously, the lesson that deploying a machine is not transforming a site, the voice-driven Cat AI Assistant built on 1.6 million connected assets and 16 petabytes of Helios data, AI agents modernising legacy code, the record $20.5 billion quarter driven by data-centre power demand, the $100 million workforce training pledge, and the honest limits of the mining analogy for organisations planning their own AI rollout.
Artificial intelligence is rapidly transforming industrial operations, enabling organizations to optimize production, improve safety, reduce costs, and make better decisions using real-time data. One of the latest developments comes from Applied Computing, which aims to provide oil and gas operators with an AI model capable of understanding and optimizing entire industrial plants rather than isolated […]
Digital Twins 2027 guide for UK SMEs, explaining how focused virtual models can improve manufacturing, retail, and operations decisions without overbuilding.
Weyerhaeuser AI turns timberlands into a data-rich operating system built around analytics, autonomy, and long-range margin goals.
Imagine a living, breathing replica of your car, not in the physical realm, but in the digital world. This virtual doppelganger, known as a Digital Twin, continuously monitors its real-world counterpart, collecting and analyzing data in real-time. Powered by the magic of Artificial Intelligence (AI), this digital twin can predict future behavior, detect potential issues, and even suggest preventative measures, paving the way for a future of proactive maintenance and enhanced efficiency.
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