At Bloomberg’s Technology and Innovation Forum in Singapore, the most useful conversation about quant research did not start ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

SCWorx Leverages Leading AI Models along with its Proprietary Healthcare Data Assets to Accelerate Data Cleansing, Enrichment, Classification and Supply Chain Intelligence ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Excel’s Data Model feature allows you to build relationships between data sets for easier reporting. Here’s how to use it to make data analysis easier. We may earn from vendors via affiliate links or ...

Anthropic is changing its data retention policies for its new Mythos-class models. Credit: Nicolas TUCAT / AFP via Getty Images Anthropic just released its most powerful public model yet — Claude ...

A new DataGrail report finds many AI vendors fail to disclose subprocessors and hidden models, exposing companies to rising shadow AI and data privacy risks.

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...