Excited to join this year's LPS 🇪🇺, and happy to chat about a convenient way to integrate climate data in deep learning pipelines (Tue, Posters, Section L-M-N).

🌱 Registration is now OPEN for the AI + Environment Summit 2025! October 1st, 2025 at Innovation Park Zurich Join us for a full-day event at the intersection of artificial intelligence, biodiversity and climate. 🎟 Spots are limited, so secure yours now: champ.ly/S8jyQwuo

Great talk on a deep learning application for ecology by Johannes Dollinger (@johdolgha.bsky.social) from the Uni Zürich! Main takeway: deep learning products should not primarily be used to replace ecological research but can rather help guide it (e.g., by identifying priority areas) 💻🎯🥾

The AI for Conservation community on BlueSky is growing quick! Here's a starter pack of folks working in this area - please share and nominate more folks (yourself or others) to be added. And if you are on the list but wish to be removed, please let me know! #AI4E 🧪 go.bsky.app/UNUCejU

🤖🌱 The abstract submission to the ESA Living Planet Symposium was extended by two days until Tuesday (Dec 3rd), so take your chance: lps25.esa.int/ Especially session A.02.02 "Terrestrial and Freshwater Biodiversity" will be interesting for the AI for conservation conversation.

🌱🤖 Thanks to the data collection efforts by (citizen) scientists, we can model species distributions to new levels of granularity. Check out our work on extracting useful information for it from satellite imagery: github.com/ecovision-uzh/sat-sinr

GitHub - ecovision-uzh/sat-sinr: [ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery

[ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery - ecovision-uzh/sat-sinr

github.com

💚🇩🇪🇪🇺💚 Ein starter pack für wichtige Accounts aus dem B90/Grünen Ökosystem. Bitte gerne weitere Vorschläge kommentieren. Anmerkung: Als Ersteller kann ich mich leider nicht rausnehmen, also da dann bitte wieder entfolgen. go.bsky.app/RcttLCN