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 ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

Defined by the powerful keynote highlighting the breakthrough partnership between Amazon Web Services Inc. and Nvidia Corp., there’s been a surge in the demand for powerful generative artificial ...

As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data is real. We enjoy the use of real world substantiated ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Advancements in Natural Language Processing (NLP) models and generative artificial intelligence (GAI) models have fundamentally changed the way that we think of human interaction—think AI chatbots and ...

In September 2022, Deutsche Bank’s Corporate Venture Capital group made an investment in Synthesized, a UK-based synthetic data company. At the time, the companies said that through synthetic, ...