Life with AI
Un pódcast de Filipe Lauar - Jueves
Categorías:
99 Episodo
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#38 - Artificial Intelligence dictionary. Understanding all the AI terms.
Publicado: 17/2/2022 -
#37 - Reinforcement Learning.
Publicado: 10/2/2022 -
#36 - What are Neural Networks? Are they really intelligent?
Publicado: 3/2/2022 -
#35 - Research, startup and youtube with Shrinivasan Sankar.
Publicado: 27/1/2022 -
#34 - Research, Generative Models, GANs and American Ninja Warrior with Asya Grechka.
Publicado: 20/1/2022 -
#33 - The state of the art is self-supervised! How to pre train NLP and computer vision transformer architectures.
Publicado: 13/1/2022 -
#32 - How to fool a neural network. Understanding adversarial attacks.
Publicado: 6/1/2022 -
#31 - How to make autonomous vehicles drive in different places? Understanding domain adaptation and semi-supervised learning.
Publicado: 30/12/2021 -
#30 - How Alexa talks to you? Speech to text and self-supervised with Miguel Agrizzi
Publicado: 23/12/2021 -
#29 - Metaverse and Omniverse with Vinícius Bonemer.
Publicado: 16/12/2021 -
#28 - Tips for getting your internship in France/Europe with Vinicius Akira.
Publicado: 9/12/2021 -
#27 - Research in computer vision, transformers and autonomous driving with Matthieu Cord.
Publicado: 2/12/2021 -
#26 - AI for energy efficiency and much more with Franco Marchesoni.
Publicado: 25/11/2021 -
#25 - How is the experience of having a podcast.
Publicado: 18/11/2021 -
#24 - Tips for training neural networks, data augmentation and self-supervised learning with Fernando Santos.
Publicado: 11/11/2021 -
#23 - How to fed data into AI algorithms. Understanding categorical feature encoding and scaling/normalization.
Publicado: 4/11/2021 -
#22 - Binary Neural Networks with Breno Skuk.
Publicado: 28/10/2021 -
#21 - Algorithms for NLP and time series. Understanding RNN, GRU and LSTM.
Publicado: 21/10/2021 -
#20 - Applications of RNNs in the real world.
Publicado: 14/10/2021 -
#19 - Applications of GANs in the real world.
Publicado: 7/10/2021
In this podcast I explain some hard concepts of AI in a way that anyone can understand. I also show how AI is influencing our lives and we don’t know.
