In a world where it’s getting harder by the day to tell whether a paragraph, a painting, or even a scientific paper was ...

AI is transforming software testing. Modern AI test management tools use machine learning and generative AI to automate test creation, exec ...

Machine learning (ML) algorithms are being rapidly adopted to perform dynamic resource management tasks in heterogeneous system on chips. For example, ML-based task schedulers can make quick, ...

The SEI identifies, evaluates, and applies the latest in AI computing technologies to solve DoD and national security problems.

State-of-the-art ML models can produce inaccurate inferences in scenarios where humans would reasonably expect high accuracy.

Rory McIlroy was spotted using the ProSENDR training aid on the range at the Memorial this week, and he seems to be a fan.

What types of AI models exist? Learn about crucial AI architectures and their practical examples.

The machine learning (ML)-community is constantly trying to improve classification models, and one of the common approaches is to enlarge a learning dataset. However, this can be demanding in medical ...

We hypothesized that analysis of serial ECGs could predict new‐onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs ...

Synthetic Reality for ML Training Simulation experts discuss safeguards in using synthetic data for autonomous vehicle training. Simulation experts discuss safeguards in using synthetic datafor ...