The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

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, ...

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.

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...

This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...

The Army’s investment in technical capabilities in collecting, storing, and disseminating data has dramatically increased. Advancements in the volume (size and scope), velocity (speed of data ...

Oct 1 (Reuters) - Bristol Myers Squibb (BMY.N), opens new tab, Takeda Pharmaceuticals (4502.T), opens new tab and Astex Pharmaceuticals are coming together to share proprietary data for training an ...