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

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

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.

1?? 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.

Link to the paper: https://arxiv.org/pdf/2209.07550.pdf

2?? Brain Imaging Generation with Latent Diffusion Models?

Using Latent Diffusion Models to generate synthetic images from high-resolution 3D brain images.

Link to the paper: https://arxiv.org/pdf/2209.07162.pdf

Join the discussion with fellow AI professionals on Discord!

?? Stable Diffusion implemented using Tensorflow and Keras!

Comment by the creator of Keras, Fran?ois 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

Code, Colab


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Thank you for reading,

Louis

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