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wahyudesu
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https://github.com/wahyudesu
AI & ML interests
Data Scientist, AI Engineer, UI UX Designer
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The Nobel Prize background for Hopfield and Hinton's work on neural networks is pure gold. It's a masterclass in explaining AI basics. Key takeaways from the conclusion: - ML applications are expanding rapidly. We're still figuring out which will stick. - Ethical discussions are crucial as the tech develops. - Physics ๐ค AI: A two-way street of innovation. Some mind-blowing AI applications in physics: - Discovering the Higgs particle - Cleaning up gravitational wave data - Hunting exoplanets - Predicting molecular structures - Designing better solar cells We're just scratching the surface. The interplay between AI and physics is reshaping both fields. Bonus: The illustrations accompanying the background document are really neat. (Credit: Johan Jarnestad/The Royal Swedish Academy of Sciences) #AI #MachineLearning #Physics #Ethics #Innovation
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