and AI data management, announces an industry-first capability to label data within vector databases, setting a new standard for AI security and access controls. This latest innovation extends ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

This approach works without relying on labeled data, a key advantage in sectors where privacy concerns and the cost of labeling are significant obstacles. The team tested their method on two ...

Companies do the labeling internally as well as outsource the task to India, China and other countries where labor rates are lower than the U.S. Data labeling is a tedious job requiring people to ...

Uber’s move into data labeling comes as that market has become increasingly hot, thanks to the rise of AI. For example, Scale AI is one company in the sector seeing increased demand .

Cofounders Alexandr Wang and Lucy Guo had realized humans were vital in labeling the data needed to train the AI used in self-driving cars. Scale capitalized on that boom, setting itself up as a ...

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 ...

Wang is the CEO and cofounder of Scale AI, a data-labeling company valued at $13.8 billion. The company employs contractors to annotate training data essential for developing AI models.

On Saturday April 5, Anavex announced data from their open-label extension trial, ATTENTION-AD, for early Alzheimer's Disease presented at the AD/PDTM 2025 Conference. ATTENTION-AD is a follow-on ...