The power of machine learning comes at a price. Once you have the skills, the toolkit, the hardware, and the data, there is still the complexity involved in creating and fine-tuning a machine learning ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 ...

The definition of artificial intelligence is constantly evolving, and the term often gets mangled, so we are here to help. What is AI, exactly? The question may seem basic, but the answer is kind of ...

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate ...

It turns out there’s a fatal flaw in most companies’ approach to machine learning, the analytical tool of the future: 87% of projects do not get past the experiment phase and so never make it into ...

Princeton University’s Department of Operations Research and Financial Engineering has teamed up with ODH, a health tech company that provides analytics solutions, to jointly research and develop ...

Project Maven has already deployed in five or six locations across Africa and the Middle East. Here's what officials are learning from those deployments so far. After having deployed to as many as six ...