Your Daily AI Research tl;dr - 2022-09-19 🧠

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Your Daily AI Research tl;dr - 2022-09-19 🧠
By Louis Bouchard • Issue #63 • View online

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.
1️⃣ Human-level Atari 200x faster
A new deepmind paper:
“Agent57 was the first agent to surpass the human benchmark on all 57 games, but this came at the cost of poor data-efficiency, requiring nearly 80 billion frames of experience to achieve.”
Starting with Agent57, they employ a diverse set of strategies to achieve a 200-fold reduction of experience needed to outperform the human baseline.
2️⃣ Brain Imaging Generation with Latent Diffusion Models 
Using Latent Diffusion Models to generate synthetic images from high-resolution 3D brain images.
Comment by the creator of Keras, François Chollet: It’s faster, it’s more concise, the code is elegant. You can add TPU and multi-GPU inference in 1 line. You can export the model to TF.js or TFLite for on-device inference.
Quick summary of the Tensorflow implementation:
- Converted pre-trained models
- Easy to understand code
- Minimal code footprint
Please subscribe and share the newsletter with your AI techy friends if it was helpful and join our 4'000+ readers. Feel free to follow my weekly newsletter where I go in-depth into one of the papers shared, and our newsletter at Towards AI, sharing the most exciting news, papers, articles, and memes weekly.
Thank you for reading,
Louis
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Louis Bouchard

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