EdgeTech+ 2026, Yokohama, Exhibition

EdgeTech+ 2026 is an exhibition organized by the Japan Embedded Systems Technology Association (JASA), bringing together players who share the latest in edge technology. Liberal Logic Inc. exhibits at booth BG-12, presenting EAUNIT, an argumentation support tool for the AI era.

EdgeTech+ 2026, Yokohama, Exhibition

EdgeTech+ 2026, Yokohama, Exhibition
  • LOCATION

    Pacifico Yokohama, Exhibition Hall / Annex Hall

  • DATE

  • TIME

    10:00 JST

  • ENTRY FEE

    Free (online registration required)

Exhibiting at EdgeTech+ 2026

Liberal Logic Inc. will exhibit at EdgeTech+ 2026, held at Pacifico Yokohama from Wednesday, November 18 to Friday, November 20, 2026. At booth BG-12, we present EAUNIT, an add-in for Enterprise Architect.

Event Overview

  • Dates — Wednesday, November 18 to Friday, November 20, 2026, 10:00–17:00 (until 18:00 on Thursday, November 19)
  • Venue — Pacifico Yokohama, Exhibition Hall / Annex Hall
  • Our booth — BG-12
  • Admission — Free (online registration required, valid for all three days)
  • Organizer — Japan Embedded Systems Technology Association (JASA)

Online registration is required to attend. See the EdgeTech+ 2026 official website for details. Our exhibit is also listed in the online exhibition guide (Japanese).

Exhibit

Making AI-created deliverables verifiable by people: EAUNIT, Argumentation Support for the AI Era

In the AI era, AI has taken over much of the work of understanding a subject and implementing it, work that people used to do. As a result, there are more situations where the traditional approach of deepening one’s understanding while writing is no longer available. Even so, people remain responsible for the deliverables, and human understanding remains essential.

To understand deliverables you did not write yourself, you need to know what each one is for and what verifies it. EAUNIT records these relationships in the Enterprise Architect model as connections between deliverables such as requirements, design, implementation, and tests. By following the connections from needs to test results, the large question of whether the system meets its requirements breaks down into questions small enough for a person to judge. Even for deliverables created by AI, people can check on the model, one step at a time, how far the argument holds.

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