How Belfort Archives intends to make old municipal council deliberations accessible through AI https://actuia.com/actualite/comment-les-archives-de-belfort-entendent-rendre-accessibles-les-anciennes-deliberations-du-conseil-municipal-grace-a-lia/
… #AI #artificialintelligence
@_Teklia_
AI
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Belfort Archives uses AI for municipal deliberations accessibility
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AlphaFold Reaches 1M+ Researchers in 18 Months
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Big milestone: 1M+ researchers have now made use of #AlphaFold in their vital work, in the 18 months since we made it freely available.
— Demis Hassabis (@demishassabis) 1 février 2023
From antibiotic resistance to crop sustainability, it's been amazing to see the impact of ‘Science at Digital Speed’: https://t.co/f3SwqXBft8 pic.twitter.com/Tp6XJCJhPFBig milestone: 1M+ researchers have now made use of #AlphaFold in their vital work, in the 18 months since we made it freely available. From antibiotic resistance to crop sustainability, it's been amazing to see the impact of ‘Science at Digital Speed’: https://
unfolded.deepmind.com/#stories -
Getting Started with ML: Step-by-Step Guide and Open-Source Contribution
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This is a perfect step-by-step guide for anyone getting started with ML. Along with this, I would also suggest joining open-source communities in the ML Space and start contributing to that to accelerate their learning.
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Ministry of Armed Forces Reveals Eight 2022 Audacity Prize Winners
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The Ministry of Armed Forces unveils the eight winners of the 2022 Audacity Prize https://actuia.com/actualite/le-ministere-des-armees-devoile-les-huit-laureats-du-prix-de-laudace-2022/
… #AI #artificialintelligence #defense -
Google Research Unveils MusicLM, Text-to-Music Generation Model
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Google Research presents MusicLM, a new text-to-audio model https://actuia.com/actualite/google-research-presente-musiclm-un-nouveau-modele-text-to-audio/
… #AI #artificialintelligence #music -

Scientific Rigor in AI Research Communication and Paper Interpretation
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Hoy en mezclando churras con merinas… Hay gente que quiere ver en mi divulgación cosas que no hay. Si dedico tiempo a explicaros el porqué un paper sobre X tema se está entendiendo mal, no es por un posicionamiento personal, sino porque me interesa esto se trate con rigor.
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India’s Union Budget 2023 announces major AI development initiatives
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While addressing the Union #Budget2023, @nsitharaman
, Finance Minister of India, announced numerous initiatives to promote the vision of “Make AI in India and Make AI work for India”. Tap here to read the key takeaways from it: https://
bit.ly/3Dr7tBR @narendramodi -
Stable Diffusion Overfitting: Realistic Image Generation Scenarios
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Y por último, en ningún momento he negado que en Stable Diffusion, al igual que sucede en la mayoría de modelos de Deep Learning no vaya a haber overfitting. Lo que me interesa es saber qué tan real es un escenario donde un usuario U genere una imagen X* muy parecida al dato X.
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Stable Diffusion’s Limited Copying Capabilities Analysis
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Si te parece una probabilidad representativa de algo, pues úsala para construir tus conclusiones. Pero por conectarlo con el contexto del primer tweet, ya que has querido unir ambas cosas. Lo que se muestra es que Stable Diffusion, copiar copiar… copia poco.
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Overfitting in AI Model Training: Statistical Analysis
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Ahora el 2º tweet, donde hablamos de si hay o no overfitting – y no del objetivo del entrenamiento – El porcentaje de 109 imágenes de 175.000.000 puedes calcularlo, pero es ínfimo, mucho más bajo que ganar la lotería de navidad…