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The Hadamard Edge: Why Entrywise Multiplication Powers AI

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Manage episode 523177915 series 3690682
Indhold leveret af Mike Breault. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mike Breault eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

1574 episoder

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Manage episode 523177915 series 3690682
Indhold leveret af Mike Breault. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mike Breault eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

1574 episoder

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