small language model

The Cascade of Consequences: A Comprehensive Assessment of American Foreign Aid Cuts to Africa and Their Systemic Implications for Global Development Architecture

The dismantling of the United States Agency for International Development (USAID) in early 2025, representing an 83% reduction in American foreign assistance to Africa, constitutes one of the most significant shifts in global development architecture since the establishment of the post-World War II international order....

The Cascade of Consequences: A Comprehensive Assessment of American Foreign Aid Cuts to Africa and Their Systemic Implications for Global Development Architecture

The dismantling of the United States Agency for International Development (USAID) in early 2025, representing an 83% reduction in American foreign assistance to Africa, constitutes one of the most significant shifts in global development architecture since the establishment of the post-World War II international order....

Joint State-Law Fixed Points in Quantum Theory: Recursive Dynamics, Bifurcations, and Renormalization-Group Deformations

This article develops a joint state-law fixed-point method for self-consistent quantum models. A physical model is represented by a density operator and a finite-dimensional vector of effective law parameters; admissible dynamics consist of a state-update channel and a law-update map. A recursive solution is their join...

Joint State-Law Fixed Points in Quantum Theory: Recursive Dynamics, Bifurcations, and Renormalization-Group Deformations

This article develops a joint state-law fixed-point method for self-consistent quantum models. A physical model is represented by a density operator and a finite-dimensional vector of effective law parameters; admissible dynamics consist of a state-update channel and a law-update map. A recursive solution is their join...

The Autonomy Externality: A Welfare-Economic Model of Agentic Artificial Intelligence, Correlated Failure, and Optimal Assurance Policy

Agentic artificial intelligence is shifting automation from prediction and recommendation toward autonomous execution. This transition creates an economic externality that is not captured by conventional firm-level investment models. A firm receives much of the productivity benefit from delegating decisions to an artif...

GNR-Q: Inference-Time State-Conditioned Reconstruction for Memory-Efficient Quantized Language Models

Low-bit quantization substantially reduces the memory footprint of large language models(LLMs), but the associated loss of numerical precision can distort internal representations anddegrade downstream prediction quality. We investigate whether part of this lost representationquality can be reconstructed dynamically at...

Guarantees, dispositions and answerable judges: An empirical basis for the behavioural certification of tool-using language agents

Buyers of tool-using language agents ask for evidence that an agent respects the authority it has been given, and what they receive is usually the vendor's own account. We ask what an independent behavioural certificate can claim about an agent the certifier cannot inspect, using a deployed certification suite as the i...

Urban Heat-Aware Walkability Index Based on LLMs Analysis: A Case Study of Sofia

A novel Artificial Intelligence (AI)-driven urban heat-aware walkability index (UHAWI) is proposed to assess pedestrian wellbeing and heat exposure. The approach integrates a conventional walkability index with the Wet Bulb Globe Temperature (WBGT) to assess how thermal stress affects the suitability of urban streets a...

Swarmbly AI v2.0.0: protocol, reference implementations, validation harness and benchmark

Peer-to-peer language-model inference today splits the model: layers or tensors are spread across machines and activations cross the public internet on every generated token. Swarmbly distributes the problem instead: a client-side orchestrator decomposes a request into semantic sub-tasks, each dispatched once to a volu...

Benchmarking Open-source Security-Tuned Language Models on Consumer Hardware

Security-tuned large language models (LLMs) are increasingly available as open-weight models for cybersecurity tasks. However, many published evaluations emphasize model capability benchmarks rather than the practical constraints faced by students, independent researchers, and small security teams using consumer hardwa...

"Comparative Evaluation of Small Language Models for Privacy Preserving Student Support Under Resource Constrained Higher Education Environments"

CRISP-ML(QS): Embedding Sustainability in AI-ML Development Lifecycle

Artificial Intelligence (AI) in contemporary industry and society is omnipresent, with its applications permeating across enterprise functions such as manufacturing, supply chain and research & development, and enterprise goals such as efficiency, innovation, and sustainability. However, an important question that has...