The ML Reproducibility Challenge is a global challenge to reproduce papers published in 2020 in top machine learning, computer vision and… (more…)

The assortment of available tools, platforms and devices for design is growing while their costs are diminishing. You can make a film, record an album, design a city or print your own flower pot. You… (more…)

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of bu... (more…)