By processing data from multiple sensor types, AI moves operations to condition-based maintenance, reducing unplanned downtime and extending asset life.
INNOVATION
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Self-Learning Industrial AI Algorithms Adapt to Specific Conditions
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Standard systems rely on rigid, predefined rules. True industrial AI uses self-learning algorithms that adapt to your specific conditions.
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Physics-Based AI Structural Integrity Management Standards Compliance
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Structural Performance Management combines physics-based AI with integrity data to create standard-compliant structural twins.
— Lucian Fogoros (@fogoros) 9 avril 2026
Unlike historical failure pattern models, SPM works with API and ASME standards. It safely expands operating envelopes instead of guessing. pic.twitter.com/7e955Yg9POStructural Performance Management combines physics-based AI with integrity data to create standard-compliant structural twins.
Unlike historical failure pattern models, SPM works with API and ASME standards. It safely expands operating envelopes instead of guessing. -
AI Applications in Finance Teams Today
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How finance teams are putting AI to work today
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
20-Year Community Roadmap for US Artificial Intelligence Research 2026
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A 20-Year Community Roadmap for Artificial Intelligence Research in the US! 2026! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/20-Year-AI-US
→ View original post on X — @gp_pulipaka, 2026-04-09 15:00 UTC
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80 Years of Great Learning: Accelerating AI History and Technology
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80 Years of Great Learning! Accelerating Real History of Artificial Intelligence! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/80-Years-GL
→ View original post on X — @gp_pulipaka, 2026-04-09 15:00 UTC
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Mistral AI Now Summit Paris May 28 Tickets Available
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Mistral’s AI Now Summit is coming to Paris on May 28 and tickets are live! What you’ll hear: Technical deep dives to help you build and deploy AI. Mistral’s founders on AI-driven transformation in large organizations, company trajectory, and upcoming releases. One day to
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Creative AI’s Success Will Be Judged by Practical Workflow Value
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This is why I think the next wave of creative AI will be judged differently. Not by: → how fast it generates → how flashy the demo looks But by: → how well it fits advertising workflows → how much time it saves content teams → how usable it is for product design → how often it gets creators close to final quality on the first pass That shift matters more than most people realize.
→ View original post on X — @ronald_vanloon, 2026-04-09 14:59 UTC
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Creative AI Success: Workflow Integration Over Raw Generation Power
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My biggest takeaway: The best creative AI will not think like a model first. It will think like a creator first. That is what stood out to me about MAI Image 2 from Microsoft, it was built with direct input from creatives, and that shows in the focus on coherence, readable text, and outputs that reduce rework. Curious how others see this: Will creative AI be won by the model with the best raw generation, or by the one that fits real workflows best? Don't miss out on the latest AI advancements! Sign up here to stay informed! intelligentworld.org/discove…
→ View original post on X — @ronald_vanloon, 2026-04-09 14:59 UTC
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Creative Teams Need Production-Ready AI Outputs, Not Just More Images
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What creative teams actually need is not "more AI images." We need outputs that are closer to usable. That means:
→ realistic environments that hold together
→ readable, structured text
→ complex scenes that stay consistent
→ less post-production before anything can go live