Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's ...

Machine learning software is becoming increasingly popular in a myriad of sectors such as healthcare, finance, and marketing. This type of software depends on algorithms for automating tasks and ...

An easy and effective way to improve marketing performance and increase sales is to use machine-learning solutions in marketing automation. Here are 7 ideas.

In this article, let’s explore how machine learning is revolutionizing software testing and breaking new ground for QA teams and enterprises alike, as well as how to successfully implement it.

Current machine learning models that are designed to generate code will enhance developer productivity, according to this Gartner analyst.

Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML.

Google also touted a number of under-the-hood improvements to its machine learning software, which will allow both Google-created and third-party software to use more sophisticated machine ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

Below, 14 members of Forbes Technology Council share impactful, creative business use cases that leverage the combination of business intelligence and machine learning.

When we talk about machine learning, we’re mostly referring to extremely clever algorithms. In 1950 mathematician Alan Turing argued that it’s a waste of time to ask whether machines can think.