Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

The deep learning tool, Audioflow, performed almost as well as a specialist machine used in clinics, and achieves similar results to urology residents in assessing urinary flow.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs Topics Spotlight: New Thinking about Cloud Computing ...

Deep machine learning has been around for some time, but did not work well because of limited computing power and immature algorithms. The difference between deep learning and regular machine learning ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

How Machine Learning Is Improving the RFP Process Getting RFPs right and managing them in real-time by applying predictive insights into how carriers and brokers can work together is a core focus ...

Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of this ...