PyData Berlin
Edge of Intelligence: The State of AI in Browsers
Talk
Abstract
API calls suck! Okay, not all of them. But building your AI features reliant on third party APIs can bring a lot of trouble. In this talk you'll learn how to use web technologies to become more independent.
Prerequisites
It is good to know a bit about web technologies in general, but you don't need to be an expert in the field to follow along.
Description
The current AI hype is being run on API calls, GPU clusters, and costly infrastructure. But what if we could break free from these constraints and run our models directly in the consumer's browser?
Imagine a world where AI development is more reliable, cheaper, and more secure. In this talk, we'll explore the current state of WebAI, including the latest developments, challenges, and opportunities. We'll dive into the libraries, tools, and technologies that make it possible to run AI models in the browser, such as WebAssembly, WebGPU, and ONNX. We'll discuss how these technologies enable fast and efficient execution of AI models, and how they relate to Python.
After the talk, you'll have a clear understanding of how to bring AI to the browser and unlock new possibilities for your applications. Join us to learn how to harness the power of AI and make it more accessible for everyone.
Speaker
Johannes Kolbe
Data Scientist
Hey, I'm Johannes, a Data Scientist who loves to tell educative stories about Machine Learning methods and AI. Preferably I'm doing this in Open Source communities. I've been working with Computer Vision for more than 10 years, ranging from designing my own Haar-Cascade face detection, over research on autonomous cars all the way to helping people configure their photobooks in a smart and easy way.