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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Akhil Pandey

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6 papers indexed here

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#graph neural networks Open access Oct 2026

Autonomous AI-Driven Security Operations Centers (Autonomous SOC): Agentic Orchestration, Real-Time Incident Response, and Multi-Agent Defensive Playbooks

Abstract—Contemporary enterprise Security Operations Centers (SOCs) are on the brink of systemic collapse driven by three converging factors: exponential alert fatigue (>25,000 uninvestigated alerts daily per enterprise), acute global cybersecurity workforce shortages, and the emergence of automated, machine-speed cybe...

Rohit Choudhary, Sunil Kaswa, Vishal Shrivastava et al. · 0 citations
#graph neural networks Open access Oct 2026

Digital Twin Networks (DTN) for 6G Autonomous Wireless Slicing: Real-Time Channel Emulation, Open RAN Orchestration, and Zero-Touch SLA Guarantees

Abstract—The realization of Sixth-Generation (6G) wireless communications envisions hyper-dense, disaggregated, and heterogeneous physical radio environments supporting concurrent ultra-reliable low-latency communication (URLLC), extreme mobile broadband (eMBB), and massive machine-type communication (mMTC). To satisfy...

Harsh Upadhyay, Areejeet Sharma, Vishal Shrivastava et al. · 0 citations
#federated learning Open access Oct 2026

Federated Fine-Tuning of Foundation Models (Fed-LLMs): Parameter-Efficient Adapters, Split Learning, and Gradient Privacy Bounds

Abstract—Fine-tuning Large Language Models (LLMs) and Vision Foundation Models on private, decentralized domain data is essential for specialized healthcare, legal, and financial enterprise applications. However, centralizing domain-specific text corpora triggers catastrophic data privacy violations under stringent reg...

Rohit Kumar, Inderkumawat, Vishal Shrivastava et al. · 0 citations
#large language models Open access Oct 2026

Neuro-Symbolic Artificial Intelligence: Integrating Large Language Models with SMT Solvers, Knowledge Graphs, and Formal Automated Theorem Provers

Abstract—Modern deep neural networks, particularly autoregressive Large Language Models (LLMs), have achieved state-of-the-art empirical performance across natural language generation, semantic translation, and broad pattern recognition. However, pure statistical connectionist architectures suffer from fundamental epis...

Pratiyush, Mayank Singh, Vishal Shrivastava et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations

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