The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems.

As artificial intelligence technology continues to improve, more companies have become interested in machine learning—technology that is able to “learn” and adapt to become increasingly adept at ...

Have you ever wondered how your streaming service knows just what movie you’d like to watch next? Or how your email filter separates the important messages from the sea of promotional clutter? The ...

This course introduces the process, methods, and computing tools fundamental to machine learning. Students will work on large real-world datasets to write code to accomplish tasks such as predicting ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

In providing the ability to discover patterns buried deep within data, machine learning has the potential to make applications more powerful and more responsive to users’ needs. Well-tuned algorithms ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

A novel machine learning-based algorithm can predict individualized risk of death and complications after PCI, as demonstrated in a new analysis. The Blue Cross Blue Shield of Michigan Cardiovascular ...