Life with AI

Hey guys, in this episode I explain how an autonomous vehicle can learn to drive in a specific city and be able to generalize the driving knowledge to any other city. To explain it, I show the concept of of semi-supervised learning and domain adaptation. I explain the the ideia with the first proposed architecture and what we have today as state of the art for this problem. 

Instagram: https://www.instagram.com/podcast.lifewithai/ 

Linkedin: https://www.linkedin.com/company/life-with-ai 

Code: https://github.com/filipelauar/projects/blob/main/domain_adaptation_semi_supervised_learning_MNIST_pytorch.ipynb

Hey guys, in this episode of the podcast I have as guest my friend Vinicius Bonemer to talk about the virtual world a.k.a metaverse. In the episode we go deep into the ideia/concept of a virtual world/metaverse and explain the different between Facebook's Metaverse and also NVIDIA's Omniverse. We discuss a lot of possibilities about this new universe, what we already have, opportunities, challenges, algorithms, interoperability, NFTs and much more...

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Vinicius's likedin: https://www.linkedin.com/in/vbonemer/

NVIDIA's Omniverse keynote: https://www.youtube.com/watch?v=RPfItXmIRG4

Facebook's Metaverse keynote: https://www.youtube.com/watch?v=gElfIo6uw4g

Wall Street Journal podcast about Facebook: https://open.spotify.com/playlist/0Amco5yINtnBGIY94Z2aHb?si=Yn9NoiVPSFSca3UOFLx4Iw

Wall Street Journal article about Facebook: https://www.wsj.com/articles/the-facebook-files-11631713039

Hey guys, in this episode I receive as guest my friend Vinicius Akira to talk about our experience to find our internships here in France and we also give a lot of tips to help you get yours. We talk about the different parts of the selective process, like how to prepare and send your CV, how to pose yourself for the HR interview and how to prepare to the technical interviews.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Akira's Linkedin: https://www.linkedin.com/in/daquisu/

Hello everyone, in this episode I interviewed Matthieu Cord, my professor at Sorbonne University. Matthieu is a researcher at Sorbonne in the field of Deep Learning and Computer Vision and also a researcher at Valeo's AI lab, a french autonomous driving company. In the episode we talk mainly about Matthieu's current research topics, autonomous driving and the hottest topics in both research and industry.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Matthieu's website: http://webia.lip6.fr/~cord/

Hey guys, in this episode I receive as a my friend Franco and we talk about energy efficiency, image enhancement and active learning. Franco told about his findings working on a project an energy efficiency project for the Uruguay government, image enhancement with reinforcement learning at Huawei and now his PhD on the active learning field.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Franco's Linkedin: https://www.linkedin.com/in/franco-marchesoni/

Hey guys, in this episode I talk about the main points of the episode that I recorded in Portuguese with Fernando Santos, a post doc researcher and professor at USP. In this episode, I talk about tips to train neural networks and some techniques that are really improving the convergence of the training, like data augmentation and self-supervised learning.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Fernando's Linkedin: https://www.linkedin.com/in/fernando-persan/

Tutorial's code: https://github.com/maponti/trainingdeepnetworks

Hey guys, in this episode I talk about how to input tabular data into artificial intelligence algorithms. You can understand tabular data as the famous excels tables, where you have categorical and numerical variables. in this episode I explain how the algorithms see tabular data and have how to transform this into the right format. 

Instagram: https://www.instagram.com/podcast.lifewithai/ 

Linkedin: https://www.linkedin.com/company/life-with-ai 

Code: https://github.com/filipelauar/projects/blob/main/categorical_encoding_numerical_scaling_normalization.ipynb

Hey guys, in this episódio I have as guest my friend Breno Skuk to talk about binary neural networks. Binary Neural Networks can decrease the inference time of the model by 40x and the memory size by until 64x! In this episode we talk about many pros and cons of the use of these networks and how its evolution and implementation can impact our lives.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/blob/main/binary_neural_networks.ipynb

Breno's Linkedin: https://www.linkedin.com/in/breno-baldas-skuk-117213140/