The Commonwealth Heads of Government meeting was an outstanding opportunity to speak with the prime ministers of member nations and King Charles about how Computer Vision is making many industries more efficient and sustainable. Great examples discussed were the Space industry
@reza_zadeh
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Machine Learning’s Dominant Success Across Nobel Prize Categories
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Machine Learning won the Nobel Prize in all the things. This is not a coincidence.
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Language Model Optimization Report from Google Internship 18 Years Ago
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Language model optimization report I did 18 years ago at Google to fulfill Waterloo coop requirements. Dusted it off after all these years. Written as a 19 year old intern with the incredible SMT team. Have been working on Machine Learning since then.
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Pope Francis Addresses G7 Leaders on AI Opportunities and Risks
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It was an honor to meet Pope Francis at the G7 summit sidelines in Italy on Saturday. His Holiness is the first pontiff to visit the G7. He came to give a specially prepared message of optimism about AI and also of concern for its applications to CEOs of major companies. I was
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Vibrations Help Unwinding Bolts: Matroid Ensures Aircraft Safety
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Vibrations are surprisingly good at unwinding bolts. This is why spacecraft and aircraft manufacturers use Matroid to check their bolt safety wires, which tie bolts down. pic.twitter.com/WFFD6VtYzP
— Reza Zadeh (@Reza_Zadeh) 3 juin 2024Vibrations are surprisingly good at unwinding bolts. This is why spacecraft and aircraft manufacturers use Matroid to check their bolt safety wires, which tie bolts down.
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Emotions: Ancestral Foundation Models Encoded in Our Genetics
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Emotions: super distilled foundation models continuously trained & passed onto us by our ancestors, through genetics & evolution.
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Adversarial Patches Can Fool Vision-Guided Missiles
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Adversarial attacks can fool vision-guided missiles. Matroid can fool them with a patch.
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Non-profits Tax-Free Status Should Require Open-Source Software
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If a non-profit benefits from tax-free status, any software it produces must be open-source, since the software and IP was partially publicly funded. What's your opinion?
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Maximizing Convex Functions: NP-Hard Problem in Machine Learning
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Almost every ML personal gets confused you tell them that maximizing a convex function is NP-Hard for this reason
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Machine Learning Replaces Polynomials as Primary Modeling Paradigm
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It’s weird to think of “deprecating” polynomials. That’s what ML is doing. For around 3 centuries polynomials have ruled as the de-facto go-to model for modeling natural phenomena. Now, automatically generated models will reign supreme for a few centuries.
