The missing layer in wind AI: safety. We combine deep RL with control theory—bounded actions, fallback PID, physics-aware constraints. Because wind farms are too critical for 'move fast and break things.' 🌬️⚡
www.eshmunai.com
#Wind #Renewables #AI #WindEnergy

At 200 mph tip speeds, wind turbine AI can't afford to be 99% right. That's failure every 3.6 days.
Safe AI in renewables means knowing when to say "I don't know" and hand control to humans.

www.eshmunai.com

#WindEnergy #AISafety #CleanTech

Delve into the forefront of process control by examining Model Predictive Control (MPC), Deep Reinforcement Learning (DRL), and mixed techniques. These innovative strategies are revolutionising Industrial AI.

#AIInnovation #ProcessControl

Industrial control isn't about AI hype. It's about systems that work when models are wrong, sensors drift, and Murphy's Law applies.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

Wind farms using AI to coordinate turbines like a flock of birds—upstream turbines steering wakes away from neighbours. Results: 8-33% more power, decisions in <30 secs, adaptive to changing winds. Still challenges with rapid shifts, but DRL is reshaping renewable energy. 🌬️
#WindEnergy #DRL #AI

Your C-XOs think agentic AI is just ChatGPT
They're wrong.
Real production AI needs:
Orchestrated reasoning chains
MCPs + tools
Proprietary ML
Hallucination controls
Enterprise arch

It's accessible, but it's engineering. #AgenticAI #EnterpriseAI #AITransformation #DigitalTransformation #MLOps

LLMs dominate public attention 📈, but the fundamentals making them possible (reinforcement learning, deep RL) remain niche.
Are we over-indexing on LLM hype and missing the next breakthrough in the “quiet” methods?
#AI #LLM #ReinforcementLearning #DeepLearning #AITrends #TechLeadership #FutureOfAI

🧠 New AI architecture mimics brain's hierarchical processing: HRM achieves 40% on AGI benchmarks with just 27M params & 1K examples. Solves extreme Sudoku at 74.5% (GPT-4: 0%). Dual-module design enables deep reasoning whilst training 100x more efficiently.
📄 arxiv.org/html/2506.21734v3
#ai