A.I. and M.L. in Space 

Fundamentals

Certificate:

A.I. and Machine Learning in Space - Fundamentals

Overview

Get your certificate at the end of the course!

 

With the term Artificial Intelligence (A.I.) engineers and scientists include the set of techniques that allow computers able to work in an autonomous way. These computers are programmed by humans. As a result they learn how to behave under specific conditions. Nevertheless we are far away from having computers that are able to interpret situations autonomously and take independent decisions if not thought about the specifically.

One successful approach to Artificial Intelligence is through Machine Learning (ML),

ML is based on the principle of "training itself": the machine processes a basic algorithm which becomes quickly more elaborated and thanks to the data processing over time, the algorithm is able to adjust and improve itself. The machine simulate the human behaviour by developing artificial neural networks. The "learning" process can be supervised or unsupervised. In the first case (supervised process) data are fed into they system until it is able to recognize autonomously the solution. In the second case (unsupervised process) the network is able to find the structure autonomously.

 

Machine Learning is a complex world, which includes numerous techniques, such as Deep Learning, which allows image recognition.

These techniques are growing very fast in space applications. Both the Space Segment and the Ground Segment benefit from the usage of A.I. and M.L. The more satellites we launch in space, the higher is the need for them to be "intelligent". Ground applications require the use of A.I. and M.L. for example when dealing with Big Data, their processing and their dissemination to the end users.

When:  2nd October 2021

Time:   18:00 to 20:00 CEST

Length: 2 Hours

Modes of Attendance: Online

Language: English

Registration Fee: 87 Euros

Program Overview:

The course Artificial Intelligence and Machine Learning in Space - Fundamentals  is a 2 hours course focuses on the fundamentals of A.I. and M.L. and the theory behind it. Important focus will be given to the applications of A.I. and M.L. in space and the expected applications for the future of the space sector. 

Program Details:

Welcome

 

Ice-braker interactive question(s)

1. ARTIFICIAL INTELLIGENCE and MACHINE LEARNING 

 

1.1. What are Artificial Intelligence and Machine Learning

1.2. System Engineering and Simple Rules

1.3. Why are A.I. and M.L. so important in general

2. ARTIFICIAL INTELLIGENCE and MACHINE LEARNING in SPACE

 

2.1. Why are A.I. and M.L. important in the Space Sector

2.2. A.I. and M.L. in the Space Segment

2.3. A.I. and M.L. in the Ground Segment

3. RISKS AND FEARS OF ARTIFICIAL INTELLIGENCE and MACHINE LEARNING 

 

3.1. Risks associated to the usage of A.I. and M.L.

3.2. Will machines be able to fully substitute humans?

3.3. Fears about growing applications with A.I. and M.L. technologies

4 GROUP EXERCISE: Brainstorming Groups about Space Applications

 

The participants are divided into groups and will brainstorm on possible applications of A.I. and M.L. in Space. They will address the following:

 - Where would you think A.I. and M.L. can bring a benefit to the Space Sector? Either in the Space Segment or the Ground Segment

- How it is done now and how do you think it can be improved in the future thanks to A.I. and M.L. 

 

Why Choose the Course in Artificial Intelligence and Machine Learning in Space?

  • The artificial intelligence specialist hiring has grown 74% in the last four years (Forbes

  • Participants acquire a complete overall knowledge about the topic as well as specific applications in the Space Sector.

  • Networking: You have the opportunity to network and learn from experts in the A.I. and M.L. sector.

  • Receive answers to your questions about business development in the A.I. and M.L. sector.

  • The course is open to all passionate individuals who wish to learn about A.I. and M.L. No prerequisite is needed to register to the course.

Learning Objectives:

At the end of the course the Student will have:

- Learnt about the theory fundamentals of Artificial Intelligence and Machine Learning

- Learnt about A.I. and M.L. applications specific in the Space Sector

- Received the inputs to develop new ideas about A.I. and M.L. applications

- Meet and establish contacts with other participants sharing the same passion: most of the technological progress is born thanks to people meeting at several opportunities like this one and starting developing new ideas and projects.

At the end of the course, the participants receive a

Certificate in Artificial Intelligence and Machine Learning in Space- Fundamentals