Data + AI Summit 2021 – Call for Presentations

Data + AI Summit 2021 – Call for Presentations

The Data + AI Summit 2021 Call for Presentations is closing soon. Submit your full-length session ideas, lightning talk ideas, and more for the world's... Details
What is Quantum Machine Learning?

What is Quantum Machine Learning?

Quantum machine learning has attracted an enormous amount of interest in recent years but what actually is quantum machine learning? In this video Quantum Steve... Details
TransGAN: Two Transformers Can Make One Strong GAN

TransGAN: Two Transformers Can Make One Strong GAN

Generative Adversarial Networks (GANs) hold the state-of-the-art when it comes to image generation. However, while the rest of computer vision is slowly taken over by... Details
The Most Important Topic in Machine Learning right now

The Most Important Topic in Machine Learning right now

Karolina Sowinska  discusses the most important topic in Machine Learning right now, namely model explainability. It is one of the hottest discussion points in the... Details
Deep Networks Are Kernel Machines

Deep Networks Are Kernel Machines

Yannic Kilcher explains the paper “Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.” Deep Neural Networks are often said to discover useful... Details
Coding Adventure: Chess AI

Coding Adventure: Chess AI

Sebastian Lague  attempts to create a little chess playing program in this tutorial. Details
Principal Component Analysis (PCA) Explained

Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this... Details
Mind Reading For Brain-To-Text Communication?!

Mind Reading For Brain-To-Text Communication?!

Two Minute Papers explores the paper "High-performance brain-to-text communication via imagined handwriting." As much as I’d like the idea of sending a text message without... Details
The AI Hardware Problem

The AI Hardware Problem

The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew. However, the power being consumed... Details
Reinforcement Learning: Machine Learning Meets Control Theory

Reinforcement Learning: Machine Learning Meets Control Theory

Steve Brunton explains reinforcement learning. Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by... Details