It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Data-driven disease progression models are an emerging set of computational tools that reconstruct disease timelines for long-term chronic diseases, providing unique insights into disease processes ...

Systems biology is a rapidly evolving discipline that examines the complex interactions underlying biological function ...

In a new paper in PNAS, SFI Complexity Postdoctoral Fellow Kaleda Denton, SFI External Faculty Fellow, and Science Board ...

Geospatial Information Systems (GIS) provide the framework for capturing, storing, analysing and visualising spatially referenced data to reveal patterns, relationships and trends in geographic ...

The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said. Quest Software has ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

During the WWDC26 keynote, Apple announced its third generation of Apple Foundation Models (AFM). Here’s a breakdown of how ...

World models, also known as world simulators, are being touted by some as the next big thing in AI. World models take inspiration from the mental models of the world that humans develop naturally. Our ...

Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...

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