Monthly Archives: January 2019

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...

Φ-Lab Visiting Fellowships from Airbus

ɸ-lab will welcome three visiting fellows from Airbus, joining a team working focused on the edge of disruptive technologies that monitor Earth’s environment from space. This is in line with one of ESA’s ɸ-lab goal: to help space...

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...

(Big) Data Fusion

Copernicus programme, the largest single  Earth Observation program to date is delivering an unprecedented wealth of data imagery. In fact, during the ESA Earth Observation Φ-week, the director of ESA Earth Observation programmes Josef Aschabacher, announced that Sentinel missions...

Archaeology, Machine Learning and the power of Crowdsou...

Archaeological Prospection using Crowdsourcing and Machine Learning Research is underway on the combined use of crowdsourcing and machine learning with EO data to systematically detect buried archaeological structures. Crowdsourcing is initially used to create labelled data, taking...

Artificial Intelligence: European R&D Strategies

All over Europe, governmental strategies and development plans have been set to stimulate and promote R&D for Artificial Intelligence (AI) and the solutions it provides. At present, six countries have officially presented their AI strategy, as well...