Phi-Lab

ECMWF-ESA Workshop on Machine Learning for Earth System...

ECMWF | Reading | 5-8 October 2020 Workshop motivation and description Machine Learning/Deep Learning (ML/DL) techniques have made remarkable advances in recent years in a large and ever-growing number of disparate application areas, e.g. natural language processing,...

Φ-sat-2 Challenge of ESA – Call for Proposals

As part of its initiative to promote the development of radically innovative technologies such as Artificial Intelligence (AI) capabilities onboard Earth Observation (EO) missions, the European Space Agency (ESA) announces an opportunity for the EO community to...

OPEN VACANCY

Exciting post-doctoral opportunity @ ESA to do research on AI for satellite data Unique Research Fellow (Post-Doc) opportunity @ ESA on the development of innovative Earth Observation (EO) solutions based on Artificial Intelligence (AI) to advance understanding...

Φ-lab Workshop on Sentinel-1 SAR data

Last week, ESA’s Φ-lab welcomed partners from the World Wildlife Fund (WWF) and the Food and Agriculture Organization of the United Nations (UN-FAO) for a collaborative workshop elaborating the potential use of Sentinel-1 SAR data for some...

Φ-News: ML for Earth Observation Bootcamp

Φ-lab hosted an internal bootcamp on Machine Learning (ML) for Earth Observation during the first week of January, which provided the team with further hands-on experience on machine learning applicability to remote sensing using Matlab. The bootcamp...

Vacancies: Join Φ-lab

Do you want a career at the cutting edge of new space technologies? Have you expertise in artificial intelligence, small-sats, high altitude pseudo-satellites, computer science, distributed ledgers, quantum computing or the new space economy? Do you want...

Case Study: Computer vision & food security issues

How images of cats and dogs can help solving food security issues? Current development in Artificial intelligence shows the strong ability of computers to learn information about our world. One of the most applicable methods artificial intelligence...

Phi-Lab GitHub

Phi-Lab is on GitHub! You can now access, host and review code – and join us on moving ideas forward. Phi-Lab is on GitHub to enable access and collaboration on working through Earth Observation-related challenge together.To access...