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20:04
Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks
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5 months ago
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1:12
How many of the big ideas of the past 15 years of AI are downstream of hardware constraints?The big hardware story over that period is that logic has become way cheaper than data transfer.Stacking huge numbers of matrix multiplies was perfect for this hardware regime, because matrix multiplication is logic-intensive but requires less data transfer. And so we got matmul-heavy deep learning.It's interesting to think about what AI would look like in a world where these costs didn't diverge so much.
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Apr 4, 2022
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🚨DID MICROSOFT JUST BAN ITS ENGINEERS FROM USING AI?The company that poured $5 billion into Anthropic discovered that Claude Code was costing more than the humans it was supposed to replace — so they’re canceling nearly all licenses by the end of June.Uber’s CTO admitted their full-year AI budget was “blown away” by April. Even Nvidia’s VP of applied deep learning said the cost of compute now exceeds the cost of employees.Is the “AI will save money and cut headcount” narrative falling apart in
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Ich hab versucht Muster in den Schüssen zu finden bis ich bemerkt habe dass der Account "ADOLF UNIVERSE" heißt
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