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The Hadamard Edge: Why Entrywise Multiplication Powers AI

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Manage episode 523177915 series 3690682
Content provided by Mike Breault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mike Breault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We unpack the Hadamard (Schur) product: simple A ∘ B, equal-shaped matrices multiplied entrywise. It’s commutative and, crucially, why PSD matrices stay PSD thanks to the Schur product theorem—giving a stability guarantee for big systems. See how this tiny operation shows up in image masking, JPEG-like processing, and the gate-driven memory of LSTMs/GRUs, and why it's a foundation of fast AI runtimes (NumPy, MATLAB).

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

Sponsored by Embersilk LLC

  continue reading

1582 episodes

Artwork
iconShare
 
Manage episode 523177915 series 3690682
Content provided by Mike Breault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mike Breault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We unpack the Hadamard (Schur) product: simple A ∘ B, equal-shaped matrices multiplied entrywise. It’s commutative and, crucially, why PSD matrices stay PSD thanks to the Schur product theorem—giving a stability guarantee for big systems. See how this tiny operation shows up in image masking, JPEG-like processing, and the gate-driven memory of LSTMs/GRUs, and why it's a foundation of fast AI runtimes (NumPy, MATLAB).

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

Sponsored by Embersilk LLC

  continue reading

1582 episodes

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