The “Only”​ AI Newsletter You Need


Louis Bouchard Hacker Noon profile picture

@whatsaiLouis Bouchard

I explain Artificial Intelligence terms and news to non-experts.

I know there are already many newsletters nowadays, especially in AI, but this one is different. Most of the artificial intelligence newsletters have a very similar curation, and you end up receiving the same email from multiple sources.

I know this because when I started in AI, I subscribed to all newsletters I could find, most of them listed here. Don’t get me wrong; they are awesome.

Unfortunately, most of them list the most popular papers without entering into the details at all. As a researcher, I especially love the new one from Papers with Code. The only thing is that it is also pretty repetitive as it shared the most popular papers that we’ve mostly already seen on LinkedIn or Twitter.

At least, they share the code and explain it a little, which is pretty cool! If you’d like to follow the most popular papers, you should check out 42 papers that show the trending papers curated by researchers and Daily Papers that show all the trending papers on Twitter.

Your AI Weekly Digest

The difference with all the other newsletters in AI is that I will be sharing only one paper per week, but this email will contain everything about the paper, such as:

– a video explaining it clearly
– a complete article about it
– the links to the paper, demo, and code (if applicable)
– full references
– Some bonus projects I work on include learning machine learning, reading more research papers, my monthly and curated yearly recap, etc.

If this seems interesting to you, and you would like to receive a super interesting weekly email, you can subscribe to it here:

Not convinced yet? Check out the last issue:

1️⃣ CVPR 2021 Best Paper Award: GIRAFFE – Controllable Image Generation 👀


CVPR 2021 Best Paper Award Goes to Michael Niemeyer and Andreas Geiger from the Max Planck Institute for Intelligent Systems and the University of Tubingen for their paper called Giraffe, which looks at the task of controllable image synthesis. In other words, they look at generating new images and controlling what will appear, the objects and their positions and orientations, the background, etc. Using a modified GAN architecture, they can even move objects in the image without affecting the background or the other objects! CVPR is a yearly conference that happened just last week where a ton of new research papers in computer vision were out just for this event. Read more here.

2️⃣ The AI Monthly Top 3 — June 2021 


Here are the 3 most interesting research papers of the month, in case you missed any of them. It is a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read here!

We are already at the end of this AI weekly digest! Thank you for thoroughly going through this iteration! I hope you enjoyed it. 

If you have suggestions, comments, or other thoughts, you can reach me by replying to this email or directly on Twitter or Linkedin. Don’t hesitate to come to chat with more than 16 000 AI enthusiasts on Discord!

I hope the next week wipes away some of your stress and brings new opportunities, challenges and happiness. A happy new week from your friend!

If you would like to support my work financially, you can become a Patreon and receive a cool role in the discord server at the same time!

Forward this email to a friend using this link:

Thank you for reading, and I hope to see you in your email soon!

Please, feel free to reply directly to the emails I send with your feedback! I would love to exchange with you about these papers and my projects!

— Louis


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