DataConference50min
Unveiling the simple math that powers AI
This beginner-friendly talk demystifies the math behind AI, showing that complex intelligent systems rely on simple operations like addition and multiplication, organized in vectors and matrices. Aimed at developers without a formal math background, it makes AI’s mathematical foundations accessible and relatable, focusing on floating point operations and basic concepts.
Marianne HoornenborgNLJUG and KVK (Dutch Chamber of Commerce)
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Wednesday, May 6, 14:40-15:30
Room B
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Don't let math intimidate you. At its core, it is simple math that powers complex systems.
As a Java developer without a formal math background, I became curious about the mathematical foundations behind AI's computation. What I discovered was that intelligent systems are often rooted in surprisingly simple mathematical concepts.
In this beginner-friendly talk, we’ll explore all the floating point operations driving AI. You'll learn that organizing these computations in vectors and matrices enables neural networks to generate text. Along the way, we’ll revisit some basics of machine-level binary number representations.
Remember how to multiply and add numbers? Basically that's all there is to it. Just lots of it. Traveling through the landscape of my talk, I'll show you that the math behind AI is more relatable than we tend to think.
As a Java developer without a formal math background, I became curious about the mathematical foundations behind AI's computation. What I discovered was that intelligent systems are often rooted in surprisingly simple mathematical concepts.
In this beginner-friendly talk, we’ll explore all the floating point operations driving AI. You'll learn that organizing these computations in vectors and matrices enables neural networks to generate text. Along the way, we’ll revisit some basics of machine-level binary number representations.
Remember how to multiply and add numbers? Basically that's all there is to it. Just lots of it. Traveling through the landscape of my talk, I'll show you that the math behind AI is more relatable than we tend to think.
Marianne Hoornenborg
Marianne Hoornenborg is a Lead for the Dutch Java community NLJUG and works in the CIO Office at the Dutch Chamber of Commerce (KVK). She is passionate about making technical topics accessible and engaging. Marianne believes learning should be investigative, inclusive, and fun. Through her talks, she aims to empower developers to grow with confidence in their careers.
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