October 2020
Pandemic impacts - the state of the ground segment
... for big data applications that require low-latency space data (e.g. complex analytics, artificial intelligence and machine learning). Cybersecurity Improving the interoperability of ground stations is a key goal for the ground sector today The space...
June 2017
Space economics - industry trends and space investing
... mentality which is distinctly associated with Silicon Valley startups Such a massive data set coupled with innovations in machine learning and artificial intelligence could literally create more value than the entire current space industry combined...
May 2022
Redefining the space professional – disruptions in the space sector workforce
... best practice) and increasingly efficient at problem solving. Professionals with MIT’s Professional Certificate Program in Machine Learning and Artificial Intelligence, Amazon Web Services (AWS) Solutions Architect - Associate etc, are examples...
June 2022
Space activities and space debris - finding an ethical balance
..., unbiased, cross-referenced, scalable, with data uncertainty quantification, and knowledge graphs +/- AI/ML (artificial intelligence/machine learning)”. Russia’s Mir Space Station viewed from Endeavour during STS-89. Mir was deorbited in March 2001...
January 2023
Portugal’s sustainable space strategy
... of space debris and the development of space traffic management tools, which rely on Artificial Intelligence (AI) and Machine Learning (ML). On Earth, everyone is aware of the wild fires - we had temperatures this summer like never before. It was...
30 September 2020
Leopard will enhance decision-making for a range of space applications
... vision involves the automatic extraction, analysis and understanding of information gleaned from digital images. By applying machine learning, which is a type of AI, it can enhance and optimize the production of actionable insights much faster and...
