Unleashing the potential of Artificial Intelligence & Machine Learning into Space

Day: Wednesday 14 October
Time: 14:00 - 14:40

Powered by ICE Cubes Service in collaboration with IBM Space Tech Division

The dynamics of the space sector are rapidly changing, pushed by NewSpace initiatives riding exponential technologies. This time, terrestrial technologies are accelerating the development of space infrastructure.

In the context of “Industry 4.0/Space 4.0”, machines pave the road while humans follow. Becoming increasingly autonomous in space will require advanced Artificial Intelligence and stronger Human-Machine partnerships. Moreover, a robust Space Economy will involve enhanced autonomy, adaptability and reliability, while decreasing the dependence on Earth resources and on-ground decisions-making processes. This evolution can be achieved by harnessing the full potential of the unfolding Fourth Industrial Revolution (AI, ML, IoT, Big Data, cloud computing, advanced robotics, etc.).

With the ICE Cubes Service mission of making space a part of everyday value chains and business (in orbit and on ground), we believe that the adoption of AI-ML techniques in space can result in important steps forward for a wide range of applications, such as AI-powered assistants for medical care, research, evaluation and support of crew activities, Big Science Data processing, autonomous spacecraft and vehicles, and many more, opening new portals into what the future could look like. Nevertheless, with great computational power, comes great responsibility; a number of ethical and philosophical issues arise, and questions without clear answers yet.

Moderator

Hilde STENUIT

Scientist Team Lead & Business Development Team, ICE Cubes, Space Applications Services NV

Belgium

Speakers

Andrei SAPERA

Marketing & Business Analyst, ICE Cubes Business Development Team, ICE Cubes, Space Applications Services NV,

Belgium

Nicolas CLÉMENCIN

ICE Cubes Payload System Engineer, ICE Cubes, Space Applications Services NV

Belgium

Naeem ALTAF

IBM Distinguished Engineer, CTO Space Tech, IBM

United States

William CARBONE

Business Development Aerospace & Defense, IBM Academy of Technology Member, IBM

Slovakia

Matthias BINIOK

Leader Space Tech Division DACH, Lead AI Architect, IBM

Germany