DUBLIN--(BUSINESS WIRE)--The "Synthetic Data Generation - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for Synthetic Data Generation was ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says. Clear guidelines should be established ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

The Department of Homeland Security and Chief Data Officers Council put out calls recently for products and insight on synthetic data generation. Government agencies are on the hunt for vendors and ...

Strict data privacy regulations have compelled companies to transition to using synthetic data, the ideal substitute for real data, containing similar insights and properties yet is more privacy-safe ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Synthetic data platform Parallel Domain ...

In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...

Government agencies are on the hunt for vendors and best practices that can help them make use of artificially generated data — also known as synthetic data generation – that can be used to build or ...