Building a supremely useful model in a supremely useful programming language.
Nonlinearity can be understood simply... with the right tools
Optimizing for genetic distance can cause information loss
How today's Machine Learning technology forces us into wasteful processes and how we can escape them
Hands-on with Reformer
What artificial intelligence needs — in addition to people — to be safe
Choosing cognition — not the brain — as the basis of Artificial Intelligence design
Like the battlefield, nature is a complex and unpredictable system that crushes best-laid plans under constant and unprecedented change
The OTACON project aims to deliver introspective AI
A rust crate for building probabilistic programming tools
Explaining black box AI won't prevent problems; it will make them worse.
To ensure that our AI predict accurately, we must provide it with the right data.
Mainstream AI has neglected the needs of scientists, but that doesn't mean there is nothing for us to do.