CodexField: Building the ‘power grid’ for AI resources, enabling data flow

Throughout the history of AI, humanity has been fixated on the progress of models. From GPT-3 to GPT-5, Claude-4 to Gemini-2.5, each new generation pushes the boundaries of scale and speed. Yet after ...
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) ...
Bozeman Daily Chronicle

Air quality analysis reveals minimal changes after xAI data center opens in pollution-burdened Memphis neighborhood

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Diginomica

Data sovereignty emerges as universal business risk just as billions flow to US clouds

As the UK celebrates record US tech investment totaling tens of billions this week, new research from Pure Storage reveals that 100 percent of industry leaders now view data sovereignty risks as ...
Microsoft

Microsoft leads shift beyond data unification to organization, delivering next-gen AI readiness with new Microsoft Fabric capabilities

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...
IEEE

Enhancing Traffic Flow Forecasting With Delay Propagation: Adaptive Graph Convolution Networks for Spatio-Temporal Data

Abstract: Traffic flow Forecasting is essential in intelligent transportation systems. Although graph neural networks perform well with non-Euclidean traffic data, they exhibit limits in accurately ...