Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

Emerging evidence indicates that sustainable lifestyle changes—such as increasing physical activity, adopting healthy dietary ...

Can AI truly improve your life? As our Try AI column turns one, we look back to find that one of our writers is less trusting ...

Abstract: Semi-supervised learning methods, compared to fully supervised learning, offer significant potential to alleviate the burden of manual annotations on clinicians. By leveraging unlabeled data ...

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI ...

Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...

In the US, Google is beginning to use an age estimation model to detect whether Account users are under or over 18. Google is looking at a “variety of signals already associated with a user’s account” ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.