A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

Cushman & Wakefield (NYSE: CWK) is pleased to announce that Dr. Miguel A. Rodriguez has joined the firm as Head of Data ...

digna has released version 2026.04 of its data quality and observability platform, introducing enhanced time-series analytics ...

In an increasingly complex and fast-moving global economy, organisations are under constant pressure to make smarter, faster, ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

What do mosquito populations and physical measurement data have in common? Both lead to a central problem in machine learning: the reliable estimation of class prevalence in the face of changing data.

Search data isn't consistent and doesn't match. Our focus needs to be on how to use it versus the endless battle to "fix" it.

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Using data from hospitals and emergency medical service providers to map out areas with the greatest need for trauma care and prehospital whole blood transfusions can enable hospital systems to deploy ...