Your optimization engine just learned the difference between mathematically possible and physically realistic.
@fogoros
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Deterministic AI Creativity Respects Thermodynamic Laws
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The deterministic foundation ensures AI creativity never violates the laws of thermodynamics or material science.
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Stochastic AI and Physics Models Optimize Manufacturing Control
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Stochastic algorithms like AI sit on top of deterministic mathematical models. Partner content with @Siemens.
— Lucian Fogoros (@fogoros) 12 avril 2026
AI gets creative freedom to optimize. Physics equations catch the impossible solutions.
Two-layer intelligence for manufacturing control. #sie_di #SiemensSDX pic.twitter.com/8tBtO8fUocStochastic algorithms like AI sit on top of deterministic mathematical models. Partner content with @Siemens
. AI gets creative freedom to optimize. Physics equations catch the impossible solutions.
Two-layer intelligence for manufacturing control. #sie_di #SiemensSDX -
CoreFluxIoT: From Porto to Hannover, Unified Industrial Protocol Platform
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From Porto to Hannover. @corefluxiot started with 3 engineers and one idea: replace 6 factory tools with a single binary. Now they support 14 protocols and run on everything from a Raspberry Pi up. #HM26 #coreflux_ai pic.twitter.com/eQcsdQ3nrS
— Lucian Fogoros (@fogoros) 12 avril 2026From Porto to Hannover. @corefluxiot started with 3 engineers and one idea: replace 6 factory tools with a single binary. Now they support 14 protocols and run on everything from a Raspberry Pi up. #HM26 #coreflux_ai
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MEMS Sensors Simplify Condition Monitoring Without Additional Hardware
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Condition monitoring is about to get much simpler.
— Lucian Fogoros (@fogoros) 12 avril 2026
When MEMS sensors match piezo performance without conditioning hardware, the install complexity drops 50%.
Partner content with Tronics. #tronics_ai #HM26 pic.twitter.com/oeKKd77QwYCondition monitoring is about to get much simpler.
When MEMS sensors match piezo performance without conditioning hardware, the install complexity drops 50%.
Partner content with Tronics. #tronics_ai #HM26 -
Smart Sensor Technology: Essential Reading for IoT Professionals
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@IotDesperados @Xavier_Porter1 @PaulFogoros @IIoT_World @CRudinschi @agentic_factory Worth reading for anyone working on smart sensor technology.
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MQTT Limitations for High-Frequency Industrial Sensor Data
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Plants generating thousands of data points per second need message throughput that MQTT cannot provide. The protocol was designed for low-bandwidth IoT devices, not high-frequency industrial sensors.
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MQTT QoS 2 latency bottleneck in industrial sensor networks
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MQTT protocol overhead becomes the bottleneck at industrial scale. Each QoS 2 message requires four network round-trips to confirm delivery, creating latency walls that sensor networks cannot break through.
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MQTT QoS Latency Limits Industrial IoT Sensor Networks
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MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc. #HM26 #skkynet_ai pic.twitter.com/20zoDHb79w
— Lucian Fogoros (@fogoros) 11 avril 2026MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc
. #HM26 #skkynet_ai -
Teaching AI to recognize normal voltage patterns across time
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How do you explain to an AI model what 'normal' voltage looks like at 3pm versus 3am? @IIoT_World @CRudinschi @agentic_factory @JoeSpeeds @RichRogers_ @andreacreativo