For organizations training AI models, access to sufficient volumes of high-quality data is quickly becoming a serious challenge. Privacy and regulatory compliance are ...

Synthetic data has rapidly transitioned from experimental curiosity to enterprise standard. Companies now rely on it to train credit models, medical diagnostic systems, customer segmentation engines, ...

* The Matrix analogy: Are we training AI inside simulations? Whether you're a data scientist, CTO, or just curious about how AI models learn, this episode offers a deep dive into one of the most ...

The tangible world we were born into is steadily becoming more homogenized with the digital world we’ve created. Gone are the days when your most sensitive information, like your Social Security ...

Jēnna Reese is CEO of Connect Centric, a D.C.-based firm that helps Fortune 500s and large nonprofits execute technology initiatives. In the race to modernize with AI, a new kind of risk is quietly ...

One of the interesting topics around the use of AI in marketing is synthetic data. I’m not completely sure I’m comfortable with it, though. Synthetic data is exactly what it sounds like: artificially ...

Last weekend, Bloomberg’s Mark Gurman and Drake Bennett published a comprehensive look into what went wrong with Apple Intelligence. The piece details everything from years-long oversights to a deep ...

AI scaling faces diminishing returns due to the growing scarcity of high-quality, high-entropy data from the internet, pushing the industry towards richer, synthetic data. Nvidia is strategically ...

Global tech executives are racing to deploy autonomous agents over the next two years, but in doing so they face a balancing act: How do you leverage data in a way that maximizes trust and confidence ...

This article was originally published on ARPU. View the original post here. This week, SandboxAQ, an artificial intelligence startup spun out of Alphabet and backed by Nvidia, released a trove of 5.2 ...