Semantic computing
View article: Semantic Energy Economy & Resource Theorems: A Unified Thermodynamic and Geometric Framework for Meaning, Cognition, and Computational Intelligence
Semantic Energy Economy & Resource Theorems: A Unified Thermodynamic and Geometric Framework for Meaning, Cognition, and Computational Intelligence Open
This deposit contains the manuscript Semantic Energy Economy & Resource Theorems, which develops the first integrated thermodynamic and geometric physics of meaning. The work formalizes meaning, cognition, and computation as energetically …
View article: DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation
DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation Open
Recent work by Wang (2025) argues that “AI = Dynamic Categorization,” framing language modeling as the real-time construction of temporary semantic prototypes that guide token selection. The Transformer implements this via self-referential…
View article: The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0)
The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0) Open
This whitepaper introduces ASOSE (Akarkach School of Semantic Emergence) as the first semantic infrastructure framework capable of stabilising meaning in a digital civilization overwhelmed by infinite information and collapsing coherence. …
View article: DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation
DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation Open
Recent work by Wang (2025) argues that “AI = Dynamic Categorization,” framing language modeling as the real-time construction of temporary semantic prototypes that guide token selection. The Transformer implements this via self-referential…
View article: Engineering Stable Generative Ecologies: A Semantic Physics Framework for Curvature–Entropy Governance in Generative AI
Engineering Stable Generative Ecologies: A Semantic Physics Framework for Curvature–Entropy Governance in Generative AI Open
This work develops a complete physical theory of generative ecologies—semantic environments where artificial agents interact not as symbolic processors but as coupled geometric and thermodynamic fields. Building on Semantic Physics, the ma…
View article: ASOSE 3.0 — Governance Edition: Semantic Governance, Predictive Stability, and the Architecture of Meaning in the 21st Century
ASOSE 3.0 — Governance Edition: Semantic Governance, Predictive Stability, and the Architecture of Meaning in the 21st Century Open
ASOSE 3.0 (Governance Edition) extends the Akarkach School of Semantic Emergence intothe domain of institutional, political, and societal governance. While ASOSE 1.0established the metaphysical foundation of semantic emergence and ASOSE 2.…
View article: Engineering Stable Generative Ecologies: A Semantic Physics Framework for Curvature–Entropy Governance in Generative AI
Engineering Stable Generative Ecologies: A Semantic Physics Framework for Curvature–Entropy Governance in Generative AI Open
This work develops a complete physical theory of generative ecologies—semantic environments where artificial agents interact not as symbolic processors but as coupled geometric and thermodynamic fields. Building on Semantic Physics, the ma…
View article: ASOSE 2.0 — Formal Ontology, System Architecture and Computational Models for the Semantic Infrastructure Era
ASOSE 2.0 — Formal Ontology, System Architecture and Computational Models for the Semantic Infrastructure Era Open
ASOSE 2.0 (Machine Edition) formalizes the world’s first semantic infrastructure into a fully machine-readable computational system. While ASOSE 1.0 established the philosophical, anthropological and mathematical foundations of semantic em…
View article: ASOSE 3.0 — Governance Edition: Semantic Governance, Predictive Stability, and the Architecture of Meaning in the 21st Century
ASOSE 3.0 — Governance Edition: Semantic Governance, Predictive Stability, and the Architecture of Meaning in the 21st Century Open
ASOSE 3.0 (Governance Edition) extends the Akarkach School of Semantic Emergence intothe domain of institutional, political, and societal governance. While ASOSE 1.0established the metaphysical foundation of semantic emergence and ASOSE 2.…
View article: ASOSE 2.0 — Formal Ontology, System Architecture and Computational Models for the Semantic Infrastructure Era
ASOSE 2.0 — Formal Ontology, System Architecture and Computational Models for the Semantic Infrastructure Era Open
ASOSE 2.0 (Machine Edition) formalizes the world’s first semantic infrastructure into a fully machine-readable computational system. While ASOSE 1.0 established the philosophical, anthropological and mathematical foundations of semantic em…
View article: DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation
DynaCat-Diffusion: Iterative Semantic Categorization for Open-World Language Generation Open
Recent work by Wang (2025) argues that “AI = Dynamic Categorization,” framing language modeling as the real-time construction of temporary semantic prototypes that guide token selection. The Transformer implements this via self-referential…
View article: The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0)
The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0) Open
This whitepaper introduces ASOSE (Akarkach School of Semantic Emergence) as the first semantic infrastructure framework capable of stabilising meaning in a digital civilization overwhelmed by infinite information and collapsing coherence. …
View article: The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0)
The Semantic Infrastructure of the 21st Century and the ASOSE Valuation Model (AVM 1.0) Open
This whitepaper introduces ASOSE (Akarkach School of Semantic Emergence) as the first semantic infrastructure framework capable of stabilising meaning in a digital civilization overwhelmed by infinite information and collapsing coherence. …
View article: Semantic Energy Economy & Resource Theorems: A Unified Thermodynamic and Geometric Framework for Meaning, Cognition, and Computational Intelligence
Semantic Energy Economy & Resource Theorems: A Unified Thermodynamic and Geometric Framework for Meaning, Cognition, and Computational Intelligence Open
This deposit contains the manuscript Semantic Energy Economy & Resource Theorems, which develops the first integrated thermodynamic and geometric physics of meaning. The work formalizes meaning, cognition, and computation as energetically …
View article: S-QPU v1.0: A Deterministic Semantic Processor Architecture for the Quranic Assembly Language (QAL)
S-QPU v1.0: A Deterministic Semantic Processor Architecture for the Quranic Assembly Language (QAL) Open
This paper presents the S-QPU v1.0 (Semantic Quantum Processing Unit), the first deterministic semantic processor designed to execute the Quranic Assembly Language (QAL) and implement its formal semantic state-transition model directly in …
View article: DTSafe-O
DTSafe-O Open
Despite the digitalization of architecture, engineering, and construction, construction-site safety is still limited by fragmented data, non-computable regulations, and slow decision processes. This paper presents DTSafe-O, a semantic digi…
View article: Semantic Croissant and Cross-Domain Interoperability Framework (CDIF)
Semantic Croissant and Cross-Domain Interoperability Framework (CDIF) Open
In the recent session of the Croissant for Machine Learning Working Group, the latest progress on the Semantic Croissant was showcased. The presentation highlighted advances in ontology alignment and the linkage of external controlled voca…
View article: Semantic Relativity Theory v2.2: From Linguistic Distance to Topological Semantic Fields
Semantic Relativity Theory v2.2: From Linguistic Distance to Topological Semantic Fields Open
The proliferation of AI-mediated communication demands theoretical frameworks for governing semantic coherence across interpretative transformations. This paper presents Semantic Relativity Theory v2.2, an evolutionary refinement incorpora…
View article: S-QPU v1.0: A Deterministic Semantic Processor Architecture for the Quranic Assembly Language (QAL)
S-QPU v1.0: A Deterministic Semantic Processor Architecture for the Quranic Assembly Language (QAL) Open
This paper presents the S-QPU v1.0 (Semantic Quantum Processing Unit), the first deterministic semantic processor designed to execute the Quranic Assembly Language (QAL) and implement its formal semantic state-transition model directly in …
View article: Differential Field Semantics: A Topological Framework for Semantic Attractors, Curvature, and Contextual Meaning Dynamics
Differential Field Semantics: A Topological Framework for Semantic Attractors, Curvature, and Contextual Meaning Dynamics Open
This work introduces Differential Field Semantics (DFS), a semantic framework grounded in contextual differential geometry. The model describes how semantic interpretation undergoes continuous deformation—such as deflection, amplification,…
View article: Semantic Relativity Theory v2.2: From Linguistic Distance to Topological Semantic Fields
Semantic Relativity Theory v2.2: From Linguistic Distance to Topological Semantic Fields Open
The proliferation of AI-mediated communication demands theoretical frameworks for governing semantic coherence across interpretative transformations. This paper presents Semantic Relativity Theory v2.2, an evolutionary refinement incorpora…
View article: Semantic Croissant and Cross-Domain Interoperability Framework (CDIF)
Semantic Croissant and Cross-Domain Interoperability Framework (CDIF) Open
In the recent session of the Croissant for Machine Learning Working Group, the latest progress on the Semantic Croissant was showcased. The presentation highlighted advances in ontology alignment and the linkage of external controlled voca…
View article: Differential Field Semantics: A Topological Framework for Semantic Attractors, Curvature, and Contextual Meaning Dynamics
Differential Field Semantics: A Topological Framework for Semantic Attractors, Curvature, and Contextual Meaning Dynamics Open
This work introduces Differential Field Semantics (DFS), a semantic framework grounded in contextual differential geometry. The model describes how semantic interpretation undergoes continuous deformation—such as deflection, amplification,…
View article: Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes
Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes Open
Embedding a language field in a 3D representation enables richer semantic understanding of spatial environments by linking geometry with descriptive meaning. This allows for a more intuitive human-computer interaction, enabling querying or…
View article: An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face
An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face Open
As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate…
View article: Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes
Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes Open
Embedding a language field in a 3D representation enables richer semantic understanding of spatial environments by linking geometry with descriptive meaning. This allows for a more intuitive human-computer interaction, enabling querying or…
View article: An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face
An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face Open
As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate…
View article: AIM: An Abstract Interaction Model for Multi-Modal Semantic UI Rendering
AIM: An Abstract Interaction Model for Multi-Modal Semantic UI Rendering Open
AIM (Abstract Interaction Model) proposes a semantic-first, modality-agnostic foundation for user interfaces. Instead of defining UIs as visual structures (widgets, DOM trees, component hierarchies), AIM treats the UI as a semantic interfa…
View article: AIM: An Abstract Interaction Model for Multi-Modal Semantic UI Rendering
AIM: An Abstract Interaction Model for Multi-Modal Semantic UI Rendering Open
AIM (Abstract Interaction Model) proposes a semantic-first, modality-agnostic foundation for user interfaces. Instead of defining UIs as visual structures (widgets, DOM trees, component hierarchies), AIM treats the UI as a semantic interfa…
View article: CompreSeed: A Patent-Pending Semantic Compression Architecture for High-Speed Reasoning and Zero-Decompression Knowledge Retrieval
CompreSeed: A Patent-Pending Semantic Compression Architecture for High-Speed Reasoning and Zero-Decompression Knowledge Retrieval Open
This whitepaper introduces CompreSeed, a patent-pending semantic compression and retrieval architecture designed for high-speed, GPU-free reasoning and secure knowledge retrieval. The system enables zero-decompression semantic search, irre…