Samsung SDS Research

Our focus?
AI technology for your convenience. Secured.

  • SINCE 1985

    Established in 1985 as Samsung Data System Co., Ltd.'s R&D Center, we have been at the forefront of advancing SDS’s technology research for 40 years.

  • 450+ Members

    With over 450 dedicated members, we are committed to advancing technological innovation in the areas of AI, Cloud, Security, SW Engineering, SW Quality Engineering and CX.

  • 2 Global R&D Centers 2 Sensing Posts

    Our Global R&D Centers in the US (San Jose) and Vietnam (Hanoi), along with our sensing posts in the US and China, are actively engaged in researching cutting-edge technologies around the world.

AI Research

We research Agentic AI systems that evolve autonomously, Physical AI that operates in physical environments, and Quantum AI to secure future technology competitiveness.

  • Agentic AI
    1. Autonomous evolution algorithm-based optimization
    2. Meta-control for stable long-horizon task execution
  • Physical AI
    1. RFM model fine-tuning and data optimization for heterogeneous robot control
    2. Multi-robot control and operation technology
  • Quantum AI
    1. Advanced quantum error suppression and quantum circuit optimization
    2. Quantum algorithm research and Quantum AI proof-of-concept

Cloud Research

We research Serving technology supporting heterogeneous accelerators and multi-model architectures, adaptive Compute infrastructure, and high-performance Network technology for large-scale distributed AI environments.

  • Serving
    1. Efficient AI Technology that Performs GPU Compute Resource Optimization and Dynamic Memory Management
    2. Heterogeneous AI accelerator and multi-model serving optimization
    3. Lightweight LLM: Quantization and sparsity compression
  • Compute
    1. GPU kernel optimization for LLM inference acceleration
    2. Hardware-aware LLM inference acceleration for heterogeneous AI accelerator
  • Network
    1. High-performance transmission technology for heterogeneous accelerator environments
    2. Software-defined network technology advancement

Security Research

We research next-generation cryptography and standardization, security threat detection and response in AI environments, and SW and application security automation technology.

  • Cryptography & Privacy
    1. Cryptographic algorithm and protocol research
    2. Crypto implementation and PQC migration technology
  • Detection and Mitigation
    1. System anomaly detection
    2. AI Agent security vulnerability testing
    3. AI Agent-based security operations automation
  • SW and Application Security
    1. API test automation and AI system attack path simulation
    2. Attack scenario analysis based on threat modeling

SW Engineering Research

We research DevOps supporting the full SW development lifecycle, AI-based Test Automation, and DevSecOps integrating development security.

  • DevOps
    1. AI-based software development lifecycle automation
    2. Advanced code analysis and inspection for development-stage code quality
    3. CI/CD automation for SW development stability and productivity
    4. VSMP and DevOps maturity management for data-driven continuous improvement
  • Test Automation
    1. AI-based automated test generation and execution
    2. Test execution and platform advancement based on test automation platform
  • DevSecOps
    1. SW development security process maturity measurement and improvement
    2. AI-based SW security vulnerability inspection automation

SW Quality Engineering Research

We research Performance Testing and Security Testing automation to ensure the reliability and quality of SW systems.

  • Performance Testing
    1. Performance test automation based on performance testing platform
    2. AI-based performance test execution and advancement
  • Security Testing
    1. Application penetration testing enhanced with AI technology
    2. AI-based mobile app security vulnerability analysis

CX Research

We research methodologies from user-centered Design Thinking to AI-based Synthetic Persona and the AXD Framework for enterprise agent experience design, supporting the full CX lifecycle.

  • Design Thinking
    1. Multi-agent based design thinking automation
    2. Prototyping and usability evaluation for rapid idea validation
  • Synthetic Persona
    1. Synthetic persona generation and validation in B2B environments
    2. User needs analysis and service design support based on synthetic personas
  • Design Thinking with AXD (Agent Experience Design) Framework
    1. Systematic agent experience design collaboration through the AXD (Agent eXperience Design) Framework
    2. Rapid, creative problem-solving collaboration through multi-agent design thinking (Empathize-Define-Ideate-Prototype-Test)

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Publications

For an insight into our technological prowess,
please check our Samsung SDS research papers
published in top-tier academic journals.

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Research Blog

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