AI & Machine Learning

1) Physics-Informed Kolmogorov–Arnold Networks for Granular Fuzzy Fractional Optimal Control Problems Author(s): A. Kazemi, A. A. Aghaei, A. Nazemi Pages: 2769 – 2778 2) Gravity Sensor-Based Fuzzy Image Fusion and Fuzzy Adaptive Feature Integration Network for Animal Behavior Monitoring Author(s): C. Zhang, D. Meng, Z. Wang, N. Xu, X. Fan, T. Sun, Z. Zhan, Y. Zhao Pages: 2779 – […]

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Security company hacked into AI lab using tools from its rival

TL;DR An enterprise request is not complete when compute and storage have been provisioned. Capacity, security, sovereignty, recovery, observability, and cost requirements must become an operable service with an owner. This article uses VCF 9.1, Dell resource pools, NSX controls, and Azure extensions to examine that translation from business intent to a versioned platform contract.

TL;DR Global Workspace Theory in AI offers a useful architectural lens: specialized components process information locally, selected information enters a limited shared workspace, and that information becomes available to other components. The strongest engineering analogy is a coordinated agent system, not simply a large language model with a long context window. For enterprise implementations, the

TL;DR Hybrid cloud becomes difficult to operate when several platforms appear to own the same lifecycle, identity, or policy decision. Define the responsibilities of Dell infrastructure, VMware Cloud Foundation, NSX, and Azure services before connecting their workflows. The useful architecture is a federation of explicit operating boundaries with accountable owners, supported integration paths, and verifiable