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daijapan/README.md

Dave Ishii

Founder, Kiara Inc.
Mathematical AI Systems Research

Building the mathematical foundations that expand human capability through AI.

🇺🇸 English | 🇯🇵 日本語 | 📚 Publications | 🧭 Research | 🚀 Projects | 🎤 Talks

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Research Vision

Artificial intelligence should not merely automate work. It should systematically expand human capability.

My long-term research aims to establish a mathematical theory that explains:

  • what AI can make accessible,
  • what AI cannot make accessible,
  • why these limits exist,
  • and how those limits can be expanded.

Accessibility is treated here as the set of human capabilities made reachable through AI.


Research Programs

1. Mathematical Accessibility

Understanding AI-enabled accessibility as a mathematical object rather than only a software feature.

Representative work


2. Reliable Mathematical AI

Replacing heuristic engineering with AI systems whose behavior can be described, bounded, and verified mathematically.

Representative work


3. Geometric and Combinatorial Foundations

Developing mathematical structures motivated by toric geometry, lattice theory, and combinatorial topology.

Representative work


Research Roadmap

Pure Mathematics
        │
        ▼
Geometric & Combinatorial Structures
        │
        ▼
Reliable Mathematical AI
        │
        ▼
AI-enabled Accessibility
        │
        ▼
Universal Human Capability

Current Research Question

What are the mathematical limits of AI-enabled accessibility, and how can those limits be systematically expanded?


Collaboration

I welcome collaboration in:

  • Mathematics
  • Artificial Intelligence
  • Human–Computer Interaction
  • Accessibility
  • Formal Verification
  • Post-Quantum Cryptography
  • Open-source Scientific Software

Keywords

Mathematical AI · Accessibility · Formal Verification · Toric Geometry · Relation Lattices · Post-Quantum Cryptography · Human-AI Systems · Reliable AI

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    Our thoughts and updates about Kiara Translator. Kiara翻訳に関する我々の考えや情報を更新します

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    Stripe analytics with fun

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