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Figure 1: Neural Autoencoder Anomaly Detection in Action . A good way to see where this article is headed is to take a look at the screenshot of a demo program in Figure 1. The demo uses a synthetic ...
While synthetic data existed before the emergence of generative AI, the new class of generative algorithms means that datasets can quickly be scaled to any size that's needed.
You can easily adapt the demo program for your own anomaly detection scenarios. By James McCaffrey; 08/02/2024; If you have a set of data items, the goal of anomaly detection is to find items that are ...
Synthetic data platform Parallel Domain today announced the launch of Reactor, a state-of-the-art synthetic data generation engine that integrates advanced generative AI technologies with ...
Researchers at the Indian Institute of Science (IISc) have pioneered a solution for AI training in Mixed Reality (MR) industrial applications. Overcoming the challenge of extensive image dataset ...
In one use case that I’d like to take a closer look at today, generative AI is being used for synthetic training data to dramatically improve the accuracy of drone-based land mine detection.
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