A smoke alert still reaches a person. ↗
NVIDIA reports that Pano uses human-in-the-loop AI detection and alerts for wildfire monitoring.
Deployed · Pano AI / NVIDIAPlanet
Weather, water, farms, conservation. A place to discover developments quickly, then stay with the questions that matter to you.
See the work.
Newest source publications first. These are source dates, not live activity.
A shared picture for people protecting wildlife. ↗
Ai2’s EarthRanger brings wildlife observations and field reports together for conservation teams.
Emerging · Ai2 / NVIDIAFrom research to the forecast desk. ↗
ECMWF brought its Artificial Intelligence Forecasting System into operational service.
Deployed · ECMWFA field image that asks for less tilling. ↗
A study combined image-based tillage classification, soil sensors, weather, slope, and crop inputs to recommend tilling intensity and fertilizer amount; authors report stationary prototypes deployed on 155 farms across five countries.
Experimental · npj Sustainable AgricultureForecasting more than one future. ↗
GenCast used machine learning to generate ensembles of possible weather outcomes up to 15 days ahead.
Demonstrated · Google DeepMindA boat that notices what it collects. ↗
Clearbot uses electric boats and computer vision for waterway waste collection, as described in NVIDIA’s field report.
Deployed · Clearbot / NVIDIAPhysics meets learning. ↗
NeuralGCM combined atmospheric physics with machine learning for weather and climate modeling.
Demonstrated · Google Research & collaboratorsMore time before the flood. ↗
Researchers demonstrated useful river-flood forecasts in watersheds with no local streamflow gauges.
Demonstrated · Google ResearchA faster view of the weather. ↗
GraphCast produced skillful medium-range global weather forecasts using a learned model.
Demonstrated · Google DeepMindWeather in three dimensions. ↗
Pangu-Weather demonstrated medium-range forecasting with three-dimensional neural networks.
Demonstrated · Huawei CloudA hybrid cooling system cut direct water use at an operating national-laboratory data center. ↗
DOE reports that NREL’s thermosyphon hybrid system avoided 2.10 million gallons over two years and cut data-center water use in half by using dry heat rejection when weather allowed while retaining a cooling tower for peak conditions.
Deployed · National Renewable Energy Laboratory / U.S. Department of Energy / Johnson Controls / Sandia National Laboratories