OPEN WIDE THE BLACK BOX OF ARTIFICIAL INTELLIGENCE
We all know something about Artificial Intelligence since we are confronted with it daily, but its functioning may seem inaccessible, even magical. Well no, we can open the black box, its main functions are even explicable in everyday language!
Teaching AI begins with learning how to program. It is essential to understand that a computer only executes sequences of instructions that are given to it, and to master the logic of these instructions. Many technical resources exist for this purpose.
Machine Learning changes the paradigm: we no longer write instructions for a program, we train a model with training data! New resources allow you to become familiar with this new concept and to understand the importance of the quantity and quality of data.
But the initial question remains: how does it work? To really demystify Artificial Intelligence, we have to get into the learning algorithms, and thus show how, from instructions, we can go as far as making programs capable of adapting to data!
A BLACK BOX?
AI, A BLACK BOX?
AI is not magic, nor inaccessible: we can open the black box!
PROGRAMMING & INSTRUCTIONS
Teaching AI presupposes knowledge on instruction programming.
LEARNING FROM DATA
With Machine Learning the new way to “program” is to train a system with data!
The black box is wide opened once we present the algorithms.
THE HUMANS BEHIND THE ROBOT
Founder and Chief Scientific Officer
Thomas Deneux is a graduate of the Ecole Normale Supérieure and holds a PhD in Computer Vision. For the past ten years, he has been a Research Engineer at CNRS (French National Center for Scientific Research) within the Paris-Saclay Institute of Neuroscience, where he pursues research in neurorobotics, and founded the Learning Robots start-up in May 2020. He is convinced of the many challenges that AI represents for society, and of the ability of young people to self-appropriate both its technical and societal aspects.
Chief Commercial Officer
Axel Haentjens is a graduate of the Ecole Centrale de Paris, with 25 years of experience in the Orange Group in Strategy, Sales, Marketing and Communications. He launched the “One Cloud” project in the Orange Group in the early 2010s and until 2019 is the Director of Strategic Partnerships in the field of data management, cloud and cyber defense. He brings to Learning Robots his experience in corporate strategy, strategic partnerships, and international business.
Lecturer in Classical Humanities at the Paris-Nanterre University, Hélène Grelier contributes to the governance of the enterprise and helps to develop the pedagogical resources, especially when they are connected with the societal impact of Artificial Intelligence.
Chief Software Officer
Engineer graduated of Ecole Centrale de Lyon, doctor in theoretical computer science (specialist in algorithmic theory of games) and Associate Professor in mathematics, Simon Collet turned to teaching in high school, in the section “digital and data processing sciences”. After two years of teaching, he joined Learning Robots to take charge of all software development and educational tools around AlphaAI.
Head of Logistics
Holder of a professional license in Distribution Logistics and Supply Chain Management acquired at Cadi Ayyad University in Marrakech, and currently alternating in the 2nd year of MBA “Supply Chain Management” at ESG, Ayoub Mastane joined Learning Robots in August 2022. In charge of inventory management, receiving orders, assembling and testing robots, he ensures the delivery of products to customers.
Research, pedagogy, education
As a school teacher for 15 years, Marie Martin has experimented with the introduction of digital technology in general and robotics in her classroom practices. Currently, she acts as a digital pedagogical advisor for the Essonne department and she is also following the master 2 in “Sciences of learning” at the Interdisciplinary Research Center of Paris. She joined Learning Robots this year in order to put her experience at the service of the development of educational tools for elementary schools.
Research, pedagogy, education
Guilhem de Montbrun
Very soon to graduate as a general engineer from CESI and specialized in robotics and entrepreneurial sciences, Guilhem de Montbrun is responsible for opening up the higher education market to the product. Being in contact with schools and universities, it aims to continue the development of the product in accordance with the needs of higher education
Learning Robots’ mission is to demonstrate to all audiences how artificial intelligence and neural networks work: from initiation to manipulation, from elementary school to vocational training and high school programming.
Being inspired by neuroscience, artificial intelligence can also teach us a lot about our own learnings. Through the solutions offered by Learning Robots, the younger generation will become positive and engaged players in the AI revolution.