The data-labeling startup Scale AI, which trains AI tools developed by clients in Big Tech and government, is on the verge of making its co-founder Lucy Guo the world’s youngest, self-made female ...

If OpenAI is going to join the trillion-dollar club, it needs more user attention and human data. A social network could ...

Rework, compliance, and slow workflows can make AI data labeling more expensive than planned. Learn ways to cut costs without ...

New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

With a net worth of US$2 billion, Alexandr Wang, 28, is the youngest self-made tech billionaire on Forbes's 2025 list, having ...

AI-driven applications in customer analytics, computer vision and predictive maintenance require large labeled datasets. Synthetic data can deliver datasets large enough to be useful. Note that ...

The human body constantly generates a variety of signals that can be measured from outside the body with wearable devices.

Google has once again asked the South Korean government for approval to export high-precision mapping data after a nine-year ...

"Federal agencies are facing an explosion of data and need high-performance, scalable analytics solutions," said Craig Dunham, CEO at Voltron Data. "By partnering with Carahsoft, we can deliver ...