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, ...

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 ...

The evolution of artificial intelligence (AI) technologies has seen a massive expansion across various sectors, including healthcare, finance, software development and more. However, the success of ...

The industry’s answer? Synthetic data. “Recently in the industry, synthetic data has been talked about a lot,” said Sebastien Bubeck, a member of technical staff at OpenAI, in the company’s ...

With the rise of generative AI, synthetic images and text have become common knowledge -- but are you familiar with synthetic data? As the name implies, the term refers to data that is artificially ...

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 ...

Hiya, folks, welcome to TechCrunch’s regular AI newsletter. If you want this in your inbox every Wednesday, sign up here. This week in AI, synthetic data rose to prominence. OpenAI last Thursday ...

In the wake of criticism over the underwhelming performance of its AI products, especially in areas like notification summaries, Apple on Monday detailed how it is trying to improve its AI models by ...

Whether AI developers scrape or license data, each approach poses challenges for content rights holders and AI companies Sophisticated systems capable of generating high-quality synthetic data can ...