Projects

Our research comes to life through practical projects and demonstrations. Explore our work across various domains.

Marten Project

An advanced research initiative focused on specialized computational methods and applications.

Learn more: https://marten.jp

Focus Areas:

  • Advanced algorithms and methodologies
  • Domain-specific applications
  • Performance optimization

WebGPU Demonstrations

Interactive demonstrations showcasing GPU computing capabilities directly in the browser.

Explore demos: https://wgpu.gutmannlab.com

Technologies:

  • WebGPU API
  • GPU-accelerated computing
  • Real-time graphics and computation
  • Browser-based simulations

Research Initiatives

AI/ML Research

Ongoing research in machine learning architectures, training methodologies, and applications across vision, language, and multimodal domains.

Robotics Systems

Development of autonomous systems with advanced perception, planning, and control capabilities.

Computational Science

High-performance computing frameworks and tools for scientific simulation and data analysis.

Interactive Graphics

Real-time rendering techniques, virtual/augmented reality systems, and immersive visualization.


Open Source Contributions

We believe in sharing knowledge and tools with the research community. Our open-source projects include:

  • Research frameworks and libraries
  • Benchmark datasets and evaluation tools
  • Documentation and tutorials
  • Reproducible research implementations

(Specific repositories and projects will be linked as they become publicly available)


Collaboration Opportunities

We welcome collaboration on:

  • Joint research projects
  • Technology evaluation and benchmarking
  • Knowledge exchange and workshops
  • Student internships and research visits

Contact us to discuss potential collaborations.


Past Projects

As our work evolves, completed projects and their outcomes will be documented here, including:

  • Research findings and publications
  • Released datasets and models
  • Archived demonstrations
  • Lessons learned and best practices