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  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 1 month ago · devops

    [Paper] Emulation of Complex Matrix Multiplication based on the Chinese Remainder Theorem

    Modern computing architectures feature low-precision matrix multiplication units that achieve substantially higher throughput than their high-precision counterp...

    #research #paper #devops
  • 1 month ago · devops

    [Paper] Synergizing Monetization, Orchestration, and Semantics in Computing Continuum

    Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and...

    #research #paper #devops
  • 1 month ago · devops

    [AWS] DevTools Evangelism CodeBuild Edition [CodeBuild]

    Introduction I've introduced several AWS DevTools in previous articles, but this time I'll introduce AWS CodeBuild. AWS CodeBuild is often used to automate rou...

    #AWS #CodeBuild #CI/CD #DevOps #Cloud #Automation #Build
  • 1 month ago · devops

    How Red Hat OpenShift AI simplifies trust and compliance

    Artificial intelligence AI is reshaping every industry, but in highly regulated sectors, success isn’t measured only by accuracy but also by trust. Public agenc...

    #devops #linux #opensource
  • 1 month ago · devops

    Disaster Recovery Testing for DevOps

    According to Backblaze's 2024 State of the Backup, only 42% of organizations that experienced data loss managed to restore all their data. How many threats are...

    #disaster recovery #backup #data loss #DevOps #testing #GitProtect #Backblaze #SaaS data protection #PM data
  • 1 month ago · devops

    [Paper] Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective

    Carbon-aware schedulers aim to reduce the operational carbon footprint of data centers by running flexible workloads during periods of low carbon intensity. Mos...

    #research #paper #devops
  • 1 month ago · devops

    [Paper] Designing Co-operation in Systems of Hierarchical, Multi-objective Schedulers for Stream Processing

    Stream processing is a computing paradigm that supports real-time data processing for a wide variety of applications. At Meta, it's used across the company for ...

    #research #paper #devops
  • 1 month ago · devops

    [Paper] A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator

    Many operational cloud systems use one or more machine learning models that help them achieve better efficiency and performance. But operators do not have tools...

    #research #paper #devops
  • 1 month ago · devops

    INE Earns G2 Winter 2026 Badges Across Global Markets

    Cary, North Carolina, USA, 8th December 2025, CyberNewsWire...

    #devops #ci-cd #automation
  • 1 month ago · devops

    [Paper] Bandwidth-Aware Network Topology Optimization for Decentralized Learning

    Network topology is critical for efficient parameter synchronization in distributed learning over networks. However, most existing studies do not account for ba...

    #research #paper #devops
  • 1 month ago · it

    Unified security actions dashboard

    Vercel now provides that surfaces any security issues requiring action from your team. When a critical vulnerability or security-related task is detected, the d...

    #vercel #security-dashboard #devops #platform
  • 1 month ago · devops

    AI and ML in DevOps: Transforming CI/CD Pipelines Into Intelligent, Autonomous Workflows

    Discover how AI and ML are revolutionizing DevOps through intelligent automation, autonomous CI/CD pipelines, AIOps, enhanced security, predictive analytics, an...

    #devops #ci-cd #automation

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