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Tuesday, December 14
 

11:15 JST

Lessons Learned From the Utilization of Machine Learning Pipelines in Production Environment - Kyosuke Hashimoto & Masahiro Ito, Hitachi, Ltd. AI + Data Theater

12:15 JST

Edge-AI Design Strategy on a C2C E-Commerce Application - Yuji Oshima, Mercari Inc. AI + Data Theater

14:30 JST

AlphaSQL Dependency Resolution and Validation for SQL and Data - Masahiro Matsui, Jdsc AI + Data Theater

16:45 JST

Beyond CUDA: GPU Accelerated Machine Learning on Cross-Vendor Graphics Cards with Vulkan Kompute (AMD, Qualcomm, NVIDIA & Friends) - Alejandro Saucedo, Seldon Technologies AI + Data Theater
 
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AI + Data Theater
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  • AI & Data
  • Automotive Linux Summit (ALS)
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  • Cloud Infrastructure
  • Cloud Native Development
  • Co-located Event
  • Community & Business Leadership (Leadership & Management Track)
  • IoT & Embedded
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  • Subtopic
  • AGL Application Design
  • AGL Distribution and Design Considerations
  • AGL Long-team Support and Maintenance
  • AGL Security
  • AGL Tools
  • AI on the Edge
  • Application Framework
  • Audio
  • Autonomous Driving and Advanced Driver Assistance Systems (ADAS)
  • Blockchain
  • CI/CD
  • Cloud native CI/CD
  • Cloud-native Application Development
  • Community Management
  • Configuration Management
  • Connected Car Technologies
  • Container and Infrastructure Security
  • Creation and Best Practices of Open Source Program Offices
  • Cyber Security Considerations
  • Data (Versioning
  • DevOps Culture
  • ECU Consolidation
  • Edge Cloud Computing
  • Feature Engineering
  • Format
  • Functional Safety and Open Source Software
  • fuzzing)
  • Governance
  • Handling License Obligations in Organizations
  • How to Vet the Viability of OS Projects
  • Hybrid & Multicloud
  • In-vehicle Infotainment (IVI)
  • io_uring
  • kcov
  • Kernel Dependability (static analysis
  • kocv triggered fuzzing testing
  • Labeling)
  • Libraries
  • Linux Kernel Development (Advanced & Beginner)
  • Logging
  • Lowering entry level barrier for new & inexperienced contributors
  • Machine and Deep Learning (Framework
  • Mobility Services
  • Observability: Metrics
  • Other
  • Pipeline Management
  • Platform
  • please specify...: Virtualization
  • RDMA
  • Safety-Critical Considerations
  • Scheduler
  • Security and Privacy
  • Security/Authentication
  • Service Mesh
  • SQL Engines
  • Stream Processing
  • Streaming Media and Graphics
  • System Boot
  • Tools)
  • Tracing
  • VFIO/IOMMU/PCI
  • Video
  • Visualization
  • Web Application Security
  • WebAssembly (Wasm)
  • WebAssembly for IoT
  • Content Experience Level
  • Any
  • Entry level
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  • Presentation Slides Attached
  • Yes