MASTER AI
by taming a small robot
A UNIQUE SOLUTION FOR TEACHING ARTIFICIAL INTELLIGENCE
The 1956 project for “Artificial Intelligence” was to simulate the functioning of the brain.
What could be more natural then, than explaining AI from what makes it closest to its biological inspiration?
The AlphAI solution
combines 3 important innovations
A robot learning in front your eyes to embody simple or impressive learning.
A graphical interface to open the “AI black box” and manipulate algorithms, including the famous artificial neural networks.
A pedagogy finally to introduce the concepts one by one, through mini-scenarios proposed to the manipulation; concepts that will echo our own human learning!
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!
AI,
A BLACK BOX?
PROGRAMMING
& INSTRUCTIONS
LEARNING
FROM DATA
LEARNING
ALGORITHMS
AI, A BLACK BOX?
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!
PROGRAMMING & INSTRUCTIONS
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.
LEARNING FROM DATA
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.
LEARNING ALGORITHMS
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!
THE HUMANS BEHIND THE ROBOT
Founder and Chief Scientific Officer
Thomas Deneux
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
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.
President
Hélène Grelier
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
Guillaume Gautier
A Graduate of EIGSI La Rochelle and Heriot-Watt University in Edinburgh, Scotland, Guillaume Gautier has worked two-and-half year withas a developer in Python language of automation tools and investgation support. At Learning Robots, Guillaume is responsible for the development of the “AlphAI” Python software that controls the AI of the robot and display the the algorithmic details into the graphical interface.
Head of Logistics
Sébastien Joanno
A graduate of the University of Paris-Saclay, Sébastien Joanno joined Learning Robots to take the responsibility of the logistics chain, from the ordering of the various components – the robot itself, the charger, the batteries, the colored shell -, the assembly, the shipping to the client, to the after-sale hardware support.
LEARNING ROBOTS
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.
THEY SUPPORT US
