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Top news of the week: 07.09.2022.

#Tunis
#Masirouna
#Indaba2022
#DLIndaba2022
#PaddlePaddle
#ernievilg

@peteskomoroch shared
On Sep 2, 2022
RT @hardmaru: Transformers are Sample Efficient World Models “With the equiv. of 2 hours of gameplay…our approach sets a new SOTA for methods without lookahead search, and even surpasses MuZero.” Love the simplicity of this approach! pdf https://t.co/7d6j5h48FV code https://t.co/aLsMiR8qHO https://t.co/jTtBEAWmIU
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Transformers are Sample Efficient World Models

Transformers are Sample Efficient World Models

Deep reinforcement learning agents are notoriously sample inefficient, which considerably limits their application to real-world problems. Recently, many model-based methods have been ...

@shakir_za shared
On Sep 1, 2022
RT @asmelashteka: Deep Learning Indaba, the biggest annual gathering of African machine learning community took place in #Tunis last week. Here is a brief summary of my observation: @DeepIndaba #Indaba2022 #Masirouna #DLIndaba2022 https://t.co/teuWPyGsLk 0/n
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Indaba

Indaba

After not taking place these past two years, we excited to announce the Deep Learning Indaba for 2022 that will be held in Tunis, Tunisia, from the 21st to the 26th of …

@stanfordnlp shared
On Sep 4, 2022
RT @saranormous: It's been a wild week in AI. Thinking about Stable Diffusion, open foundation models, and "Software 3.0" for everyone: https://t.co/F8zUSGbwIA https://t.co/ffZXgnT1mN
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The Age of Open Foundation Models

The Age of Open Foundation Models

Google Brain and Meta AI, research labs established in 2011 and 2012, fruitfully combined longtime academic researchers in deep learning with their key fuels: cloud computing …

@petewarden shared
On Sep 6, 2022
Why isn't there more training on the edge? https://t.co/sdmUKj3XnJ
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Why isn’t there more training on the edge?

Why isn’t there more training on the edge?

One of the most frequent questions I get asked from people exploring machine learning beyond cloud and desktop machines is “What about training?”. If you look around at the popular fram…

@samim shared
On Sep 1, 2022
Hello world! I'm back from my twitter break that started in 2019. Hope you are all doing great. Some professional news: I'm excited to announce that I've joined @huggingface 🤗 as product designer. More details here: https://t.co/I3crHdx6UU
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Professional news: I've joined Hugging Face 🤗 as product designer.

Professional news: I've joined Hugging Face 🤗 as product designer.

samim.io - blogging, research, projects, ideas

@BaiduResearch shared
On Sep 1, 2022
Only 3 lines of code! That's all it takes to generate imaginative visuals and arts from texts. The newest PaddleHub supports ERNIE_ViLG (a SOTA text-to-image model with Chinese text prompts), Disco Diffusion and Stable Diffusion. https://t.co/SqFkpxTW72 #PaddlePaddle #ernievilg https://t.co/3XwPgjs2aq
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PaddlePaddle / PaddleHub Public

PaddlePaddle / PaddleHub Public

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment) - GitHub - PaddlePaddle/PaddleHub: ...

@kastnerkyle shared
On Sep 1, 2022
@CoffeeVectors @KyrickYoung @ai_benj @TomLikesRobots @images_ai I thought it won but the details here are more than most other articles. Actual nuanced takes in here so I guess not as widespread as "other" articles on the subject https://t.co/w1AhfNU7WZ
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‘Someone had to be first': Pueblo artist criticized after AI painting wins at Colorado State Fair

‘Someone had to be first': Pueblo artist criticized after AI painting wins at Colorado State Fair

A game designer from Pueblo West has gone viral for his art made with artificial intelligence after winning a top prize at the Colorado State Fair.

@AlisonBLowndes shared
On Sep 3, 2022
RT @alkalait: Curious about the State of AI for EO? Then read our new whitepaper/preprint w Cristian Rossi, Maral Bayaraa @SatAppsCatapult An intro to • sensors • ML • applications To appeal to all backgrounds we included a handy glossary and acronym explainer. https://t.co/JQSslESrcR https://t.co/ujLV64Luwh
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White Paper: State of AI for Earth Observation

White Paper: State of AI for Earth Observation

Authors: Freddie Kalaitzis, Maral Bayaraa & Cristian Rossi Introduction: This work is a brief survey of AI for Earth Observation, broken down into the following themes: sensor data, machine ...

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