GPU for LLM, AI, ML and #HPC. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode References
DATA
-
SwRI Uses AI Machine Learning to Analyze Solar Data
By
–
SwRI Harnesses AI for Meaningful Matches in Solar Data! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Books
-
AI for Process Intelligence: Beyond Email Writing
By
–
What's more valuable for your plant: AI that writes emails or AI that understands how your processes actually fail and recover? @IIoT_World @CRudinschi @agentic_factory @tgravel @Lance_Edelman @emergentcap
-
Training AI Models on Production Signals and Operational Patterns
By
–
These models are trained on production signals, process behavior, operational patterns, and engineering context.
-
Industrial Foundation Models Transform Manufacturing Production Environments
By
–
Unlike general AI trained on public text, industrial foundation models encode how manufacturing actually works. Their value comes from relevance to production environments, not just generating text or predictions.
— Lucian Fogoros (@fogoros) 14 avril 2026
Partner content with Cybus. #cybus_iiot pic.twitter.com/VYO0qyXuQ9Unlike general AI trained on public text, industrial foundation models encode how manufacturing actually works. Their value comes from relevance to production environments, not just generating text or predictions.
Partner content with Cybus. #cybus_iiot -
Industrial vibration monitoring evolution: predictions for 2028
By
–
Industrial vibration monitoring is evolving fast. Where do you see this heading by 2028? @IIoT_World @CRudinschi @agentic_factory @mirko_ross @AndrewinContact @DimitriHommel
-
Rubrik SAGE: Intelligent AI Agent Governance Engine Unveiled
By
–
Deploying AI Agents shouldn’t leave your organization "flying blind" or stuck in manual review cycles. Join @rubrikInc on April 16th for the unveiling of SAGE (Semantic AI Governance Engine), the intelligent core powering Rubrik Agent Cloud, and start scaling innovation without
-
Autonomous Energy Systems Decision Speed Requirements
By
–
What's the fastest decision time your energy systems need to make autonomously? @IIoT_World @CRudinschi @agentic_factory @asokan_telecom @KADGLOBAL @Paul4innovating
-
80s Expert Knowledge Input vs 2020s Data Labeling Efficiency
By
–
In the 80s they paid experts to input their knowledge into AI. In the 2020s we do the same, except it’s much less efficient because the input is in the form of labeling data.
-
Edge Computing Enables Real-Time AI Decisions at Data Source
By
–
Conventional approach: send data to cloud, wait for response. Energy reality: decisions need to happen in under a second. Intelligence has to run where the data originates through edge compute infrastructure. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/dNxyIWtxdY
— Lucian Fogoros (@fogoros) 14 avril 2026Conventional approach: send data to cloud, wait for response. Energy reality: decisions need to happen in under a second. Intelligence has to run where the data originates through edge compute infrastructure. Partner content with @IOTechSystems
. #iotechsys_iiot