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Machine Learning and AI
Just for Fun
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Neuro-symbolic AI brings us closer to machines with common sense
Joshua Tenenbaum, professor of computational cognitive science at the MIT, explained how neuro-symbolic systems can help to address some of the key problems of current AI systems.
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‘Brain-scale’ AI model on Chinese exascale super – paper
Massive model gobbles 37 million homegrown ‘Sunway’ cores
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A visual introduction to machine learning
What is machine learning? See how it works with our animated data visualization.
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On this day, 5 years ago, AlphaGo beatthe Go Master Lee Sedol
AlphaGo: The story so far
AlphaGo is the first computer program to defeat a professional human Go player, a landmark achievement that experts believe was a decade ahead of its time.
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Neural networks and deep learning
One of the most striking facts about neural networks is that they can
compute any function at all. That is, suppose someone hands you some
complicated, wiggly function, f(x):
compute any function at all. That is, suppose someone hands you some
complicated, wiggly function, f(x):
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The Magic of Machine Learning: Gradient Descent Explained Simply but With All Math
With Gradient Descent Code from the Scratch
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Google AI Making Progress in Federated Learning with Formal Differential Privacy Guarantees
Before Google gets fully into Healthcare with A.I. it needs to get this right.
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MuZero is one of the successors of AlphaGo, the first artificial intelligence program to defeat humans in the game of Go. It was created to be a general-purpose algorithm and it has mastered several g... View More
MuZero’s first step from research into the real world
How we collaborated with YouTube to explore the potential for MuZero to improve video compression.
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Brains and algorithms partially converge in natural language processing - Communications Biology
Charlotte Caucheteux and Jean-Rémi King examine the ability of transformer neural networks trained on word prediction tasks to fit representations in the human brain measured with fMRI and MEG. Their ...
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