small language model

From Understanding to Deployment: A Multi-Perspective Study of Sidewalk Delivery Robot Systems

Local delivery demand often involves small parcels transported over short distances, yet these deliveries are frequently made by road vehicles designed for heavier loads and higher-speed travel. This mismatch can occupy valuable road and curb space while requiring vehicle and energy resources that are disproportionate...

Artificial Intelligence in Veterinary Medicine: From Laboratory Accuracy to Clinical Readiness — Secondary Analysis of 39 Deep-Learning Studies, a Real-World Benefit–Harm Appraisal, and the Veterinary Translational Readiness Index (VTRI)

Background. Artificial intelligence (AI) is moving rapidly from proof-of-concept to routine veterinary use, yet published accuracy figures come mostly from controlled studies, while independent evaluations of commercial tools in general practice are few. No analysis has set laboratory performance, real-world performanc...

Emojis as socio-emotional cues in EFL learning: a narrative conceptual review of affect, relatedness, and well-being

Emojis can modify the emotional and relational interpretation of digital messages, but their contribution to learner well-being in English as a Foreign Language (EFL) education remains uncertain. This narrative conceptual review brings together purposively selected research on emojis, educational communication, and lan...

Artificial intelligence empowering the diagnosis and treatment of rotator cuff tears: A systematic review from image optimization to prognosis prediction.

BACKGROUND Artificial intelligence (AI) is being developed for image acquisition, quantitative tissue assessment, diagnosis, and clinical prediction in rotator cuff tears. The breadth of this literature and its methodological limitations have not been integrated across the complete care pathway. METHODS We searched P...

Context presentation and native conversation structure in large language model responses to escalating suicide risk: a controlled multimodel evaluation

Background Large language models are increasingly used for informal mental health support, yet their safety during escalating suicide-risk conversations may depend on how prior information is presented. Native multi-turn conversations and reconstructed cumulative prompts differ not only in the presence of prior model r...

Seq2Pocket: Augmenting protein language models for spatially consistent binding site prediction

Abstract Motivation Protein-ligand binding site prediction (LBS) is important for many areas of structural biology and molecular modeling, where, as in other tasks, protein language models (pLMs) have shown great promise. In their application to LBS, the pLM classifies each amino acid as binding or not, but translating...

FOR SALE % AAWE_SPSPL_REBUILD_AND_ADDON_GUIDE_V10_V11.txt

*THE A.A.W.E S.P.S.P.L (BREAKER OF THE 5 CONSTANTS)* *Anthropomorphic AWARD WINNING EQUATION SPINNING PROBLEM SOLVING PORTABLE LABORATORY* *Authors / Creators:* GIBBS, GLEN M *Inventor:* Glen M Gibbs *Contact:* glenmgibbs1978@gmail.com *DOI:* 10.5281/zenodo.23393962 (v2) / 10.5281/zenodo.22387174 / 10.5281/zenodo.23393...

Bootstrapping Knowledge Acquisition from Domain Text with a Seed Ontology and Small Language Models

RCS-RP-004 — From the Cloud to the Living Room: Consumer Hardware and the Rise of Home AI Agents

RCS-RP-004 is the fourth independent research study published by Raiju Cloud System. This working paper examines how consumer computers can support personal AI agents, distinguishing local agent orchestration from local language-model inference. It explains dedicated GPU memory, system RAM, SSD storage, unified memory,...

Compact Reinforcement Learning: Resource-Efficient Formulations for Large-Scale Decision Making

Reinforcement learning (RL) offers a general framework for addressing problems involving sequential decision-making. However, modern practical applications of RL involve prohibitively large state and action sets: such as those in slate recommendations, image-based control, and large language-modeling tasks. Standard fo...

MAOMAO: an ontology-guided FAIR resource for harmonized peptide toxicity data

Therapeutic peptides have emerged as a rapidly expanding class of biomolecules with applications spanning antimicrobial, antiviral, anticancer, immunomodulatory, metabolic, and diagnostic settings (8). Their high target specificity, favorable safety profiles, and growing clinical success have positioned them as attract...

Hard to Read Is Not Hard to Audit: Why Degrading a Text Image Raises Jailbreak Success in One 2026 Study and Lowers It in Another, Four Accounts That Fit the Same Curve, and the Ablations That Would Separate Them

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Rendering text as an image is now proposed as a way to compress long contexts for multimodal language models, and a 2026 study reports that the same move opens a safety hole: when a harmful request is rendered at a resolution low enough to be hard but not impossibl...