“A neural network trained on companies that I happen to have liked in the past… could be used as a screen”
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Said on Australian Investors Podcast
Machine Learning Street Talk (MLST) · What Most People Get Wrong About Evolution | Akarsh Kumar
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parameterize flocking agents (Boyds) with a small neural network that decides direction based on neighbor positions, then search over network parameters
“A neural network trained on companies that I happen to have liked in the past… could be used as a screen”
“…when the transformer came out, it was literally, as soon as the paper came out, literally the next day… it was clear… that transformers address the limitations of recurrent neural networks of learning long-term dependencies.”
“The easiest way for me to find AI-generated shows was by searching for the Quiet Please Network.”
“You should create a guest network that's separate from your main network at home and how that can improve your cybersecurity”
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