Abstract—The continuous scaling of conventional Deep Neural Networks (DNNs) on classical Von Neumann architectures has reached severe physical boundaries governed by the 'memory wall' and unsustainable thermal dissipation. Battery-constrained edge computing environments—including autonomous micro-robotics, bio-implanta...
Priyanshu Dahiya, Tanish Mudgal, Vishal Shrivastava et al.
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Abstract—Modern enterprise computing fabrics, cloud infrastructures, and Security Operations Centers (SOCs) are inundated by billions of security events daily. Conventional Security Information and Event Management (SIEM) engines and intrusion detection systems (IDS) analyze telemetry as isolated, flat tabular logs (e....
Krish Kumar, Harsh Ranjan, Vishal Shrivastava et al.
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Abstract—Denoising Diffusion Probabilistic Models (DDPMs) and Score-Based Generative Models have fundamentally transformed continuous image generation and multi-modal synthesis. However, their mathematical extension beyond Euclidean continuous pixel grids into structured enterprise domains—specifically heterogeneous ta...
Aarav Sharma, Aayush Nagar, Dr. Vishal Shrivastava et al.
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