· devops
The Next DevOps Frontier: Governing Models, Agents and Code
Anaconda CEO David DeSanto explores what it takes to make AI-native development practical, secure and scalable for modern engineering teams. DeSanto reflects on...
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- · devops
[Paper] Mitigating GIL Bottlenecks in Edge AI Systems
Deploying Python based AI agents on resource-constrained edge devices presents a runtime optimization challenge: high thread counts are needed to mask I/O laten...
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[Paper] Chebyshev Accelerated Subspsace Eigensolver for Pseudo-hermitian Hamiltonians
Studying the optoelectronic structure of materials can require the computation of up to several thousands of the smallest eigenpairs of a pseudo-hermitian Hamil...
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Building a GenAI-RAG Runbooks-Based ChatOps Assistant in AWS Bedrock With MS Teams Integration for Incident Management
Learn how AWS Bedrock, retrieval-augmented generation RAG, and ChatOps in Microsoft Teams transform incident response by turning fragmented runbooks into a GenA...
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Human Native is joining Cloudflare
Cloudflare acquires Human Native, an AI data marketplace specialising in transforming content into searchable and useful data, to accelerate work building new e...
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[Paper] SCRamble: Adaptive Decentralized Overlay Construction for Blockchain Networks
Despite being under development for over 15 years, transaction throughput remains one of the key challenges confronting blockchains, which typically has a cap o...
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Networking 101 #6. Subnets, CIDR & NAT
👋 Short Intro Why I’m Writing This I’m currently learning Networking for DevOps and decided to learn in public by documenting my journey. This blog is part of...
- · devops
[Paper] Distributed Linearly Separable Computation with Arbitrary Heterogeneous Data Assignment
Distributed linearly separable computation is a fundamental problem in large-scale distributed systems, requiring the computation of linearly separable function...
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[Paper] Fuzzychain-edge: A novel Fuzzy logic-based adaptive Access control model for Blockchain in Edge Computing
The rapid integration of IoT with edge computing has revolutionized various domains, particularly healthcare, by enabling real-time data sharing, remote monitor...
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[Paper] Fundamental Limits of Coded Polynomial Aggregation
Coded polynomial aggregation (CPA) enables the master to directly recover a weighted aggregation of polynomial evaluations without individually decoding each te...
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[Paper] Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
Federated learning (FL) enables collaborative model training without sharing raw user data, but conventional simulations often rely on unrealistic data partitio...
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[Paper] Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
The proliferation of connected devices and privacy-sensitive applications has accelerated the adoption of Federated Learning (FL), a decentralized paradigm that...