Show HN_Mnemosyne
Show HN_Mnemosyne: A 10^38 Joule Thermodynamic Barrier for Post-Quantum Edge AI
Operating in show hn launch based in Chandler, Arizona, US, Show HN_Mnemosyne was founded in 2001.
Profile
Mnemosyne: A blueprint for computational pluralism via physical laws.-Security: Establishes a 10^38 Joule physical floor (kappa >= 804 bits) derived from Landauer’s Principle and the Margolus-Levitin limit.Infrastructure: Targets 2GB RAM edge devices using BFT-MESI cache coherence.-Verification: Formally specified in TLA+; preliminary TLC verification completed for minimal configurations (n=4, f=1).-Economics: Proof of Useful Work (PoUW) for socially beneficial AI compute.-Current Openings:Seeking PhD positions (Security/Distributed Systems).Providing RAG architecture consulting.-Full Manuscript (175 pages, 14 original theorems): https://www.researchgate.net/profile/Bo-Jun-Han-LinkedIn: www.
Within the show hn launch space, the company focuses on its core offering rather than a broad product line.
The company is recorded as being based in Chandler, Arizona, US.
The company is listed at the Show HN launch stage of development.
Its team size is recorded as 1-10 employees.
| Sector | Show HN launch |
|---|---|
| Headquarters | Chandler, Arizona, US |
| Country | US |
| Founded | 2001 |
| Employees | 1-10 |
| Stage | Show HN launch |
Website: www.researchgate.net/profile/Bo-Jun-Han
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