I made a song about the AI transition.
The Hague is still looking for the agenda file.
Respect to everyone doing the work while the system sleeps through the future. π
Ctrl. Alt. Delay.
From AI in the farm ditch to AI in wastewater treatment π±π§
At a Wetsus public lecture, Martijn Wagterveld covered the Wetsus context. I shared the https://t.co/X87yn9FGpo story.
Smart surface water monitoring requires adoption and validation. This is why #UrbanM2O matters.
Links in reply π
95% of engineering AI workloads do not need the cloud.
Serious AI often start locally, fast, private, efficient.
My 22-minute podcast presentation explains why.
Curious what engineers think.
π₯ 4-minute demonstration of a local LLM + ML workflow running offline.
Captured on the LocalPrompt AI platform (https://t.co/d8WtlqCS2U) for demonstration purposes. Best viewed on Desktop π
π± Big sensor fusion milestone! Our floaters now use AI to predict total nitrogen, phosphorus, and TOC in real-time water quality insights! π Dive deeper at https://t.co/1TR0rNVl7Q π #AgriTech#WaterQuality#AI
π Exciting PhD opportunity @wetsus ! Join us in pioneering real-time monitoring of surface & soil water quality. Develop a data-driven model using our real-time field test to tackle environmental challenges. Apply by 24 May! πππΏ
https://t.co/wHM6WhTFLM
π Milestone achieved! We successfully installed Floater & Pinner 2.0 to monitor surface water and soil quality, feeding our real-time data-driven models. This innovation helps farmers optimize their operations and prove best practices. πΏππ
https://t.co/4uUTMtI6mj