{"id":1218,"date":"2024-08-22T16:30:15","date_gmt":"2024-08-22T14:30:15","guid":{"rendered":"https:\/\/prometronics.com\/news\/"},"modified":"2026-07-15T12:54:33","modified_gmt":"2026-07-15T10:54:33","slug":"news","status":"publish","type":"page","link":"https:\/\/prometronics.com\/en\/news\/","title":{"rendered":"News"},"content":{"rendered":"

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News<\/h4>\n

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Posts, Webinars &\u00a0 Events<\/h1>\n

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Munich – 05\/21\/2026<\/h3>\n

Physics AI meets Edge AI<\/h3>\n

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The post describes the convergence of Physics AI and Edge AI. Physics-informed models can operate more efficiently, reliably, and transparently on resource-constrained hardware, making them especially suitable for industrial edge deployments.<\/p>\n

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AI to Own, Not to Rent<\/span><\/span><\/h3>\n

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Sixteen Nobel laureates just warned that AI’s gains could concentrate in very few hands. We think the fix isn’t redistributing AI – it’s rethinking who gets to own<\/em> it.<\/p>\n

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Physics AI: The next AI wave will understand physics, not just language<\/strong><\/h3>\n

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The post explains different AI paradigms (LLMs, Agentic AI, Vision AI, Robotics AI, and Physics AI). By embedding physical laws directly into models, Physics AI enables more reliable predictions, requires less training data, and increases trustworthiness in industrial applications.<\/p>\n

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Industrial AI needs more than larger models<\/strong><\/h3>\n

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Industrial AI will not advance through larger models and more data alone. Progress requires architectures grounded in physical reality, incorporating concepts such as World Models, Physics AI, and Edge AI.<\/p>\n

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Europe and the second AI opportunity<\/h3>\n

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The post reflects on whether Europe missed the first AI wave but highlights significant opportunities in areas such as Physics AI. Europe\u2019s industrial expertise and deep domain knowledge could become a major competitive advantage.<\/p>\n

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Aristotle and the Future of AI<\/h3>\n

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Inspired by comments from Pat Gelsinger, the post examines AI from a philosophical perspective. AI\u2019s future should not be defined solely by technical capabilities but also by questions of human wisdom, judgment, and societal benefit.<\/p>\n

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AI in Production \u2013 Practical Use Cases – Online Webinar<\/h3>\n

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View recording:<\/span><\/strong> click here<\/a><\/span><\/p>\n

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Modern factories are producing more and more data. However, only a fraction of it is used by MES and ERP systems for actual factory control. And the rest? Most of the data is lost or goes unused into the cloud. Together with Industry 4.0 pioneer Johann Hofmann and data analyst Dr. Andr\u00e9 Kempe, we discuss practical AI use cases, such as how sensor data can improve quality (defect detection in difficult cases), how wave analyses can retrofit existing machines with predictive maintenance (manufacturer-independent), or how production control can be optimized with sales forecasting (unit and price analytics). <\/span><\/p>\n

The webinar took place on<\/span>:<\/strong> 4

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AI in Production \u2013 Impulse Workshop<\/h3>\n

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an event with personal on-site participation<\/b>. Organizer:<\/p>\n

\"macils. <\/span>Learning Journey<\/span><\/strong><\/span><\/a><\/h1>\n

We share the knowled<\/strong>ge of the best<\/strong><\/span><\/a><\/h2>\n

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Event at Your Premises<\/strong><\/span><\/p>\n

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As a company, you can register your interest to conduct an AI workshop at your own premises. The ProMetronics team, together with Johann Hofmann<\/a> and your own employees, will address the question: What is the CURRENT status and the TARGET status of our production in terms of a Digital Factory, and where can AI solutions be profitably implemented? We will develop an AI roadmap on-site with customized solutions for your production.<\/p>\n

Register Interest for Hosting<\/a><\/p>\n

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Spectator Participation<\/strong><\/span><\/p>\n

Any interested party can participate in the event and observe live how the production setting is analyzed on-site and how the required AI solutions are specifically developed and planned. Participation is limited. <\/span><\/p>\n

Agenda and Registration<\/a><\/span><\/p>\n

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Sign up for our AI Newsletter<\/h2>\n

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