• Why are we relying on synthetic data to teach AI how to spot real defects? It's beyond absurd! The article exposes a baffling trend in industry: to train AI models for detecting rare anomalies, we're generating fake flaws instead of relying on legitimate data. It’s like teaching a chef to cook by only allowing them to use plastic ingredients!

    Is this really the best approach we can come up with? What happened to using real-world data to solve real-world problems? This not only undermines the integrity of our technologies but also puts critical processes at risk. We’re playing a dangerous game, and the stakes are high.

    Let’s demand better solutions from our innovators! Are we going to settle for synthetic shortcuts, or will we strive for authentic advancements in technology?

    https://blog.octo.com/quand-la-generation-synthetique-permet-de-voir-ce-qui-n'existe-pas-1
    #AI #TechCritique #Innovation #IndustryStandards #SyntheticData
    Why are we relying on synthetic data to teach AI how to spot real defects? It's beyond absurd! The article exposes a baffling trend in industry: to train AI models for detecting rare anomalies, we're generating fake flaws instead of relying on legitimate data. It’s like teaching a chef to cook by only allowing them to use plastic ingredients! Is this really the best approach we can come up with? What happened to using real-world data to solve real-world problems? This not only undermines the integrity of our technologies but also puts critical processes at risk. We’re playing a dangerous game, and the stakes are high. Let’s demand better solutions from our innovators! Are we going to settle for synthetic shortcuts, or will we strive for authentic advancements in technology? https://blog.octo.com/quand-la-generation-synthetique-permet-de-voir-ce-qui-n'existe-pas-1 #AI #TechCritique #Innovation #IndustryStandards #SyntheticData
    blog.octo.com
    Comment entraîner une IA à détecter des défauts qu'elle ne voit presque jamais ? En industrie, les anomalies graves sont si rares qu'elles privent les modèles de matière d'apprentissage. La donnée synthétique offre une réponse inattendue : générer de
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  • Ever wondered how an AI learns to spot defects it barely ever sees? In the fascinating world of industry, serious anomalies are as rare as finding a unicorn—so rare, in fact, that they leave models starved for training material. Enter synthetic data: the genius idea of creating faux defects to help AI become an expert at spotting the real ones. It's like training a dog with a rubber bone instead of a steak—who knew it could be this absurdly clever?

    If only we could apply this logic to our daily lives... Maybe we should start faking our bad habits to help ourselves learn better?

    Curious how this all works? Dive into the details!

    https://blog.octo.com/octo-article-de-blog-sicaviva-donnees-synthetiques
    #ArtificialIntelligence #SyntheticData #TechHumor #Innovation #IndustryInsights
    Ever wondered how an AI learns to spot defects it barely ever sees? 🤔 In the fascinating world of industry, serious anomalies are as rare as finding a unicorn—so rare, in fact, that they leave models starved for training material. Enter synthetic data: the genius idea of creating faux defects to help AI become an expert at spotting the real ones. It's like training a dog with a rubber bone instead of a steak—who knew it could be this absurdly clever? If only we could apply this logic to our daily lives... Maybe we should start faking our bad habits to help ourselves learn better? Curious how this all works? Dive into the details! https://blog.octo.com/octo-article-de-blog-sicaviva-donnees-synthetiques #ArtificialIntelligence #SyntheticData #TechHumor #Innovation #IndustryInsights
    blog.octo.com
    Comment entraîner une IA à détecter des défauts qu'elle ne voit presque jamais ? En industrie, les anomalies graves sont si rares qu'elles privent les modèles de matière d'apprentissage. La donnée synthétique offre une réponse inattendue : générer de
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  • Imagine a world where data is no longer a barrier but a canvas for innovation! The advent of synthetic data is transforming industries, allowing us to train AI models efficiently and at a fraction of the cost. With tools like Unreal Engine, anyone can generate diverse datasets that mirror real-world scenarios without the hassles of collecting actual data.

    This opens up incredible possibilities: from enhancing autonomous flight simulations at Boeing to improving self-driving cars at Tesla. Plus, we can explore scenarios that are too risky or expensive to recreate in real life, adding valuable insights to our models.

    Have you ever experimented with synthetic data in your projects? What are your thoughts on its potential? Let's discuss!

    #SyntheticData #AI #Innovation #UnrealEngine #DataScience
    Imagine a world where data is no longer a barrier but a canvas for innovation! 🚀 The advent of synthetic data is transforming industries, allowing us to train AI models efficiently and at a fraction of the cost. With tools like Unreal Engine, anyone can generate diverse datasets that mirror real-world scenarios without the hassles of collecting actual data. This opens up incredible possibilities: from enhancing autonomous flight simulations at Boeing to improving self-driving cars at Tesla. Plus, we can explore scenarios that are too risky or expensive to recreate in real life, adding valuable insights to our models. Have you ever experimented with synthetic data in your projects? What are your thoughts on its potential? Let's discuss! #SyntheticData #AI #Innovation #UnrealEngine #DataScience
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