If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Why is machine learning so hard to explain? Making it clear can help with stakeholder buy-in Your email has been sent Getty Images/iStockphoto More must-read AI coverage ‘Catastrophic’ Stakes: OpenAI ...

This special series focuses on important community issues, innovative solutions to societal challenges, and people and non-profit groups making an impact through technology. by Lisa Stiffler on Mar 16 ...

Sometimes, the best way to examine something is in the context of stuff you already know a little bit about. Or, at least, think you do. Writers, especially journalists, tend to lean on metaphor and ...

The resurgence of artificial intelligence (AI) is largely due to advances in pattern-recognition due to deep learning, a form of machine learning that does not require explicit hard-coding. The ...

Until recently, Aiden, a Minnesota 7th grader, had a rocky K-12 career. He got into fights. He was suspended multiple times. He sat alone in the cafeteria. Though he is gifted, his string of Bs and Cs ...

Strategic acquisition will provide rapid technology innovation to create new solutions that address teaching, learning, and collaboration needs SEATTLE, Nov. 28, 2022 /PRNewswire/ -- Promethean®, a ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. This article is more than 6 years old. Asked what is the biggest ...