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 ...

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 ...

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 AI is facing several critical challenges.

Last week the billionaire and owner of X, Elon Musk, claimed the pool of human-generated data that's used to train artificial intelligence (AI) models such as ChatGPT has run out. Musk didn't cite ...

Synthetic data has been one of the biggest new trends of the past two years. Our contributors look ahead to the development ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Ambuj Tewari, University of Michigan (THE CONVERSATION) You’ve just finished a ...

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 ...

PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Artificial intelligence (AI) and machine learning applications are widely ...

These people do not exist. These faces were artificially generated using a form of deep learning known as generative adversarial networks (GANs). Synthetic data like this is becoming increasingly ...

I've posted two articles about synthetic data, both highly skeptical about the hype surrounding it. In Can synthetic data bridge the AI training data gap? (July 2021), I wrote: The problem of ...