From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
AZoRobotics on MSN

Combining AI and X-ray physics to overcome tomography data gaps

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...
IEEE

SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data

Abstract: Submerged aquatic vegetation (SAV) is crucial for maintaining a clear-water state in lakes. Tracking the spatiotemporal changes in SAV is crucial for understanding the ecological evolution, ...
IEEE

Real-Time Shape Estimation of Tensegrity Structures Using Strut Inclination Angles

Abstract: Tensegrity structures are becoming widely used in robotics, such as continuously bending soft manipulators and mobile robots to explore unknown and uneven environments dynamically.
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...