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New paper with Kenneth Stanley ! We built a scalable fluid engine for artificial life 🧬 Paper:

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Ciaran

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40,983 görüntüleme • 2 ay önce •via X (Twitter)

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New tutorial is up!! 🌟 Go Design to Code with Paper ✨ Shout out Harcourt Allen for working hard to create these videos for the Paper community Full video link in the replies ⬇︎
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New tutorial is up!! 🌟 Go Design to Code with Paper ✨ Shout out Harcourt Allen for working hard to create these videos for the Paper community Full video link in the replies ⬇︎

Paper

22,701 görüntüleme • 20 gün önce

for a little toy project i reproduced the quoted artificial life paper: a 2D grid of randomly generated Brainfuck programs breed and spontaneously evolve self-replicators, despite no explicit optimization functions
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for a little toy project i reproduced the quoted artificial life paper: a 2D grid of randomly generated Brainfuck programs breed and spontaneously evolve self-replicators, despite no explicit optimization functions

Ryan Greene

173,500 görüntüleme • 6 ay önce

Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.
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Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.

Sakana AI

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Bringing #Nezha to life with just paper and light!
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Bringing #Nezha to life with just paper and light!

Mao Ning 毛宁

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Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging
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Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging

Ali Max Erturk

14,962 görüntüleme • 6 ay önce

NEW: SUMI. A plugin for After Effects that simulates ink travelling through paper. Directable ink bleed on simulated paper: Washi, watercolor, and kent. #aftereffects #aescripts
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NEW: SUMI. A plugin for After Effects that simulates ink travelling through paper. Directable ink bleed on simulated paper: Washi, watercolor, and kent. #aftereffects #aescripts

aescripts+aeplugins

45,454 görüntüleme • 7 gün önce

A day in the life of Joelinton! 🇧🇷 We spent the day with our number 7 after he put pen to paper on a new long term deal with the club 🫶 Watch in full on YouTube 👉
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A day in the life of Joelinton! 🇧🇷 We spent the day with our number 7 after he put pen to paper on a new long term deal with the club 🫶 Watch in full on YouTube 👉

Newcastle United

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New paper: We present a "Unified Neural Scaling Law" functional form that accurately models & extrapolates the multivariate scaling behaviors of artificial neural networks as the variables listed in this attached video are varied. (1/N)
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New paper: We present a "Unified Neural Scaling Law" functional form that accurately models & extrapolates the multivariate scaling behaviors of artificial neural networks as the variables listed in this attached video are varied. (1/N)

Ethan Caballero

49,403 görüntüleme • 3 ay önce

Putting pen to paper on a contract extension at your Stanley Cup parade is epic 😅 (🎥: Dennis Cox)
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Putting pen to paper on a contract extension at your Stanley Cup parade is epic 😅 (🎥: Dennis Cox)

Daily Faceoff

17,961 görüntüleme • 3 ay önce

$80 USD for a box with a piece of paper in it
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$80 USD for a box with a piece of paper in it

conner

4,353,385 görüntüleme • 3 ay önce

A similar resource to the one before, but this time for GCSE English Language Paper 2 A past paper with guidance for students in Year 11 to follow 📝
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A similar resource to the one before, but this time for GCSE English Language Paper 2 A past paper with guidance for students in Year 11 to follow 📝

Douglas Wise

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We published a new xenobot-related paper today: In a nutshell: building xenobots from frog explants is good because, apparently, explants come with adaptivity "built in". It took us 6 years and 10 co-authors (see post #2) to reach this point.
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We published a new xenobot-related paper today: In a nutshell: building xenobots from frog explants is good because, apparently, explants come with adaptivity "built in". It took us 6 years and 10 co-authors (see post #2) to reach this point.

Josh Bongard

16,155 görüntüleme • 1 yıl önce

Playing around with the new Paper gradient tool. Don't think I've ever seen a better one.
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Playing around with the new Paper gradient tool. Don't think I've ever seen a better one.

Colm Tuite

13,523 görüntüleme • 1 yıl önce

haechan with a naming paper bag 🫠
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haechan with a naming paper bag 🫠

cece #TASTE

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Need to go to New York for a review of this Rock Paper Scissors game 🤨
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Need to go to New York for a review of this Rock Paper Scissors game 🤨

MLB

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Introducing Discord for research Discord was built for gamers. What about researchers? We’ve built a platform where researchers can discover communities, engage in paper discussions, and connect with academics who share your interests - all in one dedicated space.
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Introducing Discord for research Discord was built for gamers. What about researchers? We’ve built a platform where researchers can discover communities, engage in paper discussions, and connect with academics who share your interests - all in one dedicated space.

alphaXiv

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What kind of game is this? Rock, Paper, Scissors... or RUN FOR YOUR LIFE? 😂
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What kind of game is this? Rock, Paper, Scissors... or RUN FOR YOUR LIFE? 😂

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