AI Doesn’t Have A Data Problem; It Has A Context Problem

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...
Forbes

Startup Raises $27 Million To Solve Two Massive Data Center Problems

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Data centers are one of the most controversial new builds today. They're also constrained by ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
unite

The Everywhere Problem: Why “Data Anywhere” Is Becoming the Defining Infrastructure Challenge of the AI Era

The most consequential question in AI today is not which model is smartest. It is where the data lives, and whether the intelligence can reach it. For the better part of a decade, the AI industry ...