Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...

Renewable energy is the future, but at present no one is tracking just who’s got solar panels on their roof, in their back yard, or a shared neighborhood installation. Fortunately, solar panels ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Machine learning has brought an old idea — neural networks — to bear on a range of previously difficult problems such as handwriting and speech recognition. Better software and hardware has made it ...

Understanding the different types of machine learning, the algorithms that support them and how to apply them are critical to successful implementations. Predictive maintenance is the principal ...

A unified ML management system requires careful orchestration of multiple components, from experiment tracking with MLflow to model serving with FastAPI. Interactive ...

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 ...

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. Government agencies are awash in documents. Many of these documents are ...

MOUNTAIN VIEW, CALIF.—Google is launching a new SDK for machine learning for its Firebase developer platform called "ML Kit." The new SDK offers ready-to-use APIs for some of the most common ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Machine learning can be a fantastic tool for creators, but integrating AI into your workflow is a challenge ...