Swarmbly App is a desktop client and network dashboard for the Swarmbly protocol, which distributes the problem rather than the model: a request with a structural partition is split into micro-tasks, served in parallel by volunteer nodes running complete small language models, verified and assembled on the client. The...
Sebastian A. Espinoza‐Ulloa· Zenodo (CERN European Organi...· 0 citations
This technical note reports a bounded transferability experiment in the Local Frontier Orchestrator (LFO), a local-first conversational architecture combining a small local language model with selective escalation to a stronger remote model. The optimization direction was materially informed by Daniel Correa Villa's Pu...
Gál Tomáš· Zenodo (CERN European Organi...· 0 citations
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, and women are disproportionately affected. This review examines the evidence that estrogen signaling contributes to this disparity and asks what a molecularly targeted therapeutic would require. We first distinguish prevalence from incidence in the g...
Tian-Hua Zhai, Risa Garg, Pei-Ming Li et al.· Journal of Dementia and Alzh...· 0 citations
This project “AI4Optics” addresses the challenge of knowledge preservation and utilization in small and mediumsized enterprises (SMEs) within the optical measurement industry. SMEs face the risk of losing valuable domain knowledge as experienced employees retire and industry requirements evolve. The project therefore a...
D. Aumüller, M. Geyer, S. Sommer· IMEKO PHOTOMET EDUMET 2026 M...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Agent-based models (ABMs) typically rely on equations to incorporate agents' decision-making, ranging from ad-hoc rules or simple heuristics to complex, theory- or data-driven approaches. Recent advances in large language models (LLMs) make it possible to represent economic decision-making through information-condition...
Georgios Papadopoulos· Working papers· 0 citations
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Early and accurate prediction is crucial for reducing mortality. However, clinical settings often face challenges such as data scarcity, class imbalance, and the underutilization of unstructured clinical notes. Existing...
Yitian Zhang, Xinlei Ji, Huijie Zhang et al.· BMC Medical Informatics and...· 0 citations
The measurement problem and the hard problem of consciousness share a structure: each derives the observer last and cannot account for what it finds there. Qualia Algebra (QA) inverts the order. From the one fact that survives total skepticism — I exist — it develops a grammar of manifestation (distinction, binding, at...
Joseph Vanhorn· Zenodo (CERN European Organi...· 0 citations
The success of large-language-models highlighted the importance of datasets, whose quantity, quality, and diversity dictate the accuracy and creativity of artificial intelligence (AI) systems in learning and inferring. However, in scientific domains, such datasets required for domain-specific AI/machine-learning (ML)...
Daniel C. Hannah, Yu-Min Zhang, S. Whittingham et al.· JACS Au· 0 citations
Chinese text requires substantially more tokens than English in large language models (LLMs), increasing API costs and context-window consumption. Most prior work measures this premium using off-the-shelf tokenizers, but the underlying mechanism—where the additional tokens actually arise—remains poorly understood, part...
L. Gong· Applied and Computational En...· 0 citations
Despite their importance for maintaining infrastructure integrity, manual culvert inspections pose significant operational challenges for agencies such as the Utah Department of Transportation (UDOT) due to high labor demands, subjective assessments, and variability in evaluation outcomes. This study investigates the a...
Pouria Mohammadi, S. Asgari, Abbas Rashidi et al.· Advanced Engineering Informa...· 0 citations
Global aquaculture faces an escalating disease and antimicrobial resistance (AMR) crisis, exacerbated by climate-driven physiochemical shifts and intensive farming practices. The integration of artificial intelligence (AI) and structural biology, spearheaded by AlphaFold, represents a paradigm shift in aquatic pharmaco...
Enes Üstüner, Mustafa Öz· Biotechnology and Bioenginee...· 0 citations
Abstract. This paper describes the beta version of ASAP. Quantitative evidence on what climate adaptation measures cost is scattered across peer-reviewed studies, agency reports, national plans and, for small-scale measures, commercial price listings. Existing compilations are one-off, confined to a few sectors, and bi...
Adriano Vinca, Giacomo Falchetta, Vignesh Raghunathan et al.· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
