High-level monitoring without battery drain addresses a key pain point. Hey, community, how do you balance the model's accuracy with keeping that footprint truly tiny?
SYSTEMS
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Tiny AI Models Balance Data Depth and Battery Life
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The trade-off between data depth and energy usage is a major industrial hurdle. Sundeep Ahluwalia, CPO, TDK SensEI, highlights how tiny-footprint AI models on the asset allow for high-level monitoring without draining the sensor's battery life. Sponsored by TDK SensEI. #tdk_iiot pic.twitter.com/i6sO4eKplW
— Lucian Fogoros (@fogoros) 4 avril 2026The trade-off between data depth and energy usage is a major industrial hurdle. Sundeep Ahluwalia, CPO, TDK SensEI, highlights how tiny-footprint AI models on the asset allow for high-level monitoring without draining the sensor's battery life. Sponsored by TDK SensEI. #tdk_iiot
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Factory Design Meets Automotive Simulation: Which Manufacturers Adapt First?
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When factory design gets the automotive simulation treatment, which manufacturers will adapt first? @IIoT_World @CRudinschi @agentic_factory
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Humans Shift to Augmented Decision Making with AI Support
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The role of humans shifted from data entry and passive monitoring to augmented decision making with just-in-time support.
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Industrial AI: Real-Time Prevention vs Legacy Batch Processing
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Legacy AI: retrospective batch data, centralized cloud, thousands of defect images.
— Lucian Fogoros (@fogoros) 4 avril 2026
Industrial AI: real-time context, liquid edge computing, 10 synthetic samples.
One tells you what happened. The other prevents it. pic.twitter.com/O485aUwtLELegacy AI: retrospective batch data, centralized cloud, thousands of defect images.
Industrial AI: real-time context, liquid edge computing, 10 synthetic samples.
One tells you what happened. The other prevents it. -
Air-Gapped OT Security: Defending Against Removable Media Attacks
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The approach targets two main attack vectors: data transfers via removable media and access by internet-connected devices to air-gapped OT environments.
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Central layer architecture with full data export and open formats
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犀利，我们做的是「中枢层」，支持随时随地全量导出，格式开放。
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Scaling High Throughput AI Inference Infrastructure Challenges
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Sometimes I take for granted how quickly we can ship great product, vs how hard it is to tune a super high throughput inference + api stack. The scale makes the latter really hard. we’re working around the clock to make it better.
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Multiple Laptops Collaboration and Distributed Computing
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10 shitty laptops can work together? Cool!
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Machine Learning Platform Engineering and System Design Resources
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Machine Learning Platform Engineering: http://
amzn.to/4uU2Lpj Machine Learning System Design: http://
amzn.to/4lRrkim