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Tutorials on Artificial Intelligence

Published on 21 September 2020

AI is the heroine of CEA-Leti's first web series!

  • If you're a fan of web series and eagerly looking forward to new releases…Let your curiosity prevail and treat yourself to CEA-Leti's first web series broadcast on the Institute's YouTube channel! In this 2-season, 12-episode series, two CEA-Leti research engineers invite you to discover on-board artificial intelligence: edge AI.

  • CEA-Leti's onboard Artificial Intelligence team is preparing the future by combining innovations in architectural fields dedicated to AI applications: non-volatile memory technology, sensors or advanced algorithms such as incremental learning.

  • By watching this web series, the layman can learn about or extend his/her knowledge of AI from its inception to the principles and applications of today's edge AI


Based in Grenoble, which was selected and labeled by an international jury and the French government as one of the four "Cities for Artificial Intelligence", CEA-Leti is a privileged partner of the MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence). This institute plays a major role in Artificial Intelligence research, teaching students and professionals, and supporting major companies in innovation.
              


Season 1 includes eight episodes and is presented by research engineer Frédéric Heitzmann, who heads up CEA-Leti's on-board AI program.


Each episode is in English and runs for six to eleven minutes. This simple, clear web series succeeds in sharing solid scientific content, while remaining accessible to a wide audience.

Subscribe now to the CEA-Leti YouTube channel


#1. Brief history of Artificial Intellgence


This video is the first of a series on artificial intelligence. It deals with the fundamentals of AI, about artificial neural networks, but also about the following practical problems: how to build a neural network, how to debug a neural network, how to organize your data, and so on. This video aims to explore the different existing software frameworks and the hardware platforms.

 


#2. Machine Learning - learning from data

This video is the second in a series of talks on artificial intelligence. In the previous one you learned about the history of AI and machine learning. This video will present the different methods for a machine to learn something, and there are differences between these methods.

 



#3.Why datasets are so important ?

This video is the third in a series of talks on artificial intelligence. In the previous one you learned about the machine learning and what we can learn from data . This video will present examples and discussion around problems of bias and consistency.

 



#4. Models for artificial neurons

This video is the fourth in a series of talks on artificial intelligence. In the previous one you learned about the importance of datasets, as well as examples around problems of bias and consistency. This video will present models for artificial neurons. The basic element of a neural network is … the neuron of course!

 



#5. Neuronal Networks Capacities

This video is the fifth in a series of talks on artificial intelligence. In the previous one, you learned about models for artificial neurons. This video will present the role of these neurons, its power when arranged in large networks.

 

#6. Neural Networks Architectures


This video is the sixth in a series of talks on artificial intelligence. In the previous one, you learned about the role of these neurons, its power when arranged in large networks. This video will present how it is done inside the network and the neural network architectures.


 

#7. Learning Process


This video is the seventh in a series of talks on artificial intelligence. In the previous one, you learned about neural network architectures, its power when arranged in large networks. This video will present the learning process.


 



#8. More just than neuros : Reinforcement learning & GAN

This video is the eighth in a series of talks on artificial intelligence. In the previous one, you learned about learning process. This video will present reinforcement learning & Generative Adversarial Networks.