📡 June Φ-talk | 10 June · 14:00 CEST
Konrad Schindler (ETH Zurich) on foundational AI models for 3D point clouds.
Live on Microsoft Teams
👉https://t.co/Yo6rutrDO6
#PhiTalks#CIN#EO
📡 Join us for a new Φ-talk on 27 May. Johannes Jakubik from IBM Research Europe will present his work on learned quantisation for multimodal Earth observation foundation models, including TerraMind. 👉 Register here: https://t.co/edW6WyGLpA #EO
📡 Join us for a new Φ-talk on 27 May. Johannes Jakubik from IBM Research Europe will present his work on learned quantisation for multimodal Earth observation foundation models, including TerraMind. 👉 Register here: https://t.co/edW6WyGLpA #EO
🔭 ESA Φ-lab is hiring 3 Research Fellows (PostDoc) in AI × Earth Observation, at Frascati, Italy.
Topics: autonomous cloud computing in space, explainable AI for EO, and onboard data handling.
PhD required.
Apply → https://t.co/361LlkQpPT
#ESAPhilab#EarthObservation#AI
🛰️ Φ-talk tomorrow, May 13 - Beyond Black Boxes: Physics-based AI for Interpretable SAR-Based Retrieval Models
14:00 CEST | Live on Microsoft Teams
👉 https://t.co/P2ECnCouUJ
#PhiTalks#EarthObservation#SAR#ESA
🛰️ The latest ESA Φ-Lab CIN talk is now on YouTube.
Aravind Ravichandran from TerraWatch Space on the intelligence gap in Earth Observation: onboard processing, GeoAI, and what scalable Earth intelligence actually requires.
▶️ https://t.co/VmiXlfXUGi
#EO#GeoAI#AI4EO#ESA
🗓️ ESA Φnnovation Summit: deadline extended to 9 April!
Got a project in #EO or transformative tech?
Submit your abstract to present on stage or as a poster.
Also open: proposals for side events.
👉https://t.co/GTWca9KGm4
🌐 Event: https://t.co/FplRtmrgJ7
#SpaceTech
📡 Φ-talk | 1 April · 14:00 CEST
Petabytes of satellite data — but are we solving the intelligence problem?
Aravind Ravichandran (TerraWatch Space) on edge computing, GeoAI, and scalable Earth intelligence.
🔗 https://t.co/Y4qV7xhHes
🛰️ Upcoming Φ-talk: Sustainable Training of Foundation Models for EO
25 March · 14:00 CEST · Microsoft Teams
Sébastien Lefèvre & Pierre Adorni from l’Université Bretagne Sud.
🔗 https://t.co/abCzvb9xVG
#PhiTalk#EarthObservation#AI4EO#ESA
🎥 Φ-talk recording now available
Discover how self-supervised learning leverages temporal & multi-sensor satellite data to perform with limited labels, and scale for EO.
📺 https://t.co/WxS5JNNaLY
#PhiTalk#EarthObservation#AI4EO#ESA#CIN
📢 Deadline extended! Binary Neural Networks for Efficient Onboard AI in Earth Observation.
📅new deadline: 13 March 2026, 23:59 CET
🔗https://t.co/lV2uDIRQUw
Open to PhD candidates & postdocs in AI, Computer Science, Embedded Systems & related fields.
#AI#EarthObservation
🚀 Φ-talk | Learning to Generalise Across Modalities & Scales for Forest Remote Sensing
4 March 2026 | 14:00 CEST | Arthur Ouaknine
AI for forest monitoring: multimodal learning, hyperspectral SSL, drone-based tree detection & cross-scale transfer.
🔗 https://t.co/XfqcIj9v2u
#EO
GeoSANE: Learning Geospatial Representations from Models
🎥 Now on YouTube: https://t.co/P1nGo68mM5
In a Φ-talk hosted by the ESA Φ-Lab Collaborative Innovation Network, Prof. Damian Borth introduces a model-centric shift for GeoAI.
#GeoAI#RemoteSensing#FoundationModels#ESA
📢 March Φ-talks | #RemoteSensing & #ML
🔹 4 Mar (14:00 CEST): Arthur Ouaknine on generalisation across sensors & scales for forest monitoring.
🔹 18 Mar (14:00 CEST): Emanuele Dalsasso on self-supervised SAR & MERLIN.
Register: https://t.co/nyQoZyxH0c
#CIN#PhiTalks#EO
🚀 Φ-talk: Training & Deploying Pre-trained Models for Remote Sensing Data
🗓 18 Feb 2026 | 14:00 CEST | Live on MS Teams
🎙 Gabriel Tseng (Ai2) on self-supervised learning for satellite data, multi-sensor models & scalable deployment.
🔗 Register: https://t.co/yM1IPcLEzn
#EO