Generative Data Intelligence

Tag: interpretability

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical...

How to evaluate the quality of the synthetic data – measuring from the perspective of fidelity, utility, and privacy

In an increasingly data-centric world, enterprises must focus on gathering both valuable physical information and generating the information that they need but can’t easily...

Working Towards Explainable AI

“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]

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