Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate change, pandemics, and child abuse.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

Recent releases from three open source projects continue the march toward making machine learning faster, more scalable, and easier to use.

Companies of all kinds use machine learning to analyze people’s desires, dislikes, or faces. Some researchers are now asking a different question: How can we make machines forget? A nascent area ...

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech.

AI hype has researchers in fields from medicine to political science rushing to use techniques that they don’t always understand—causing a wave of spurious results.