This research preprint reports a focused pilot study of consistency–latency trade-offs among direct PostgreSQL access, TTL cache-aside, invalidate-on-write, and write-through caching implemented as a database update followed by a synchronous Redis update. The experiment comprises 20 measured runs, with five repetitions...
Tabish Ali· Zenodo (CERN European Organi...· 0 citations
Este whitepaper apresenta um estudo de caso aplicado sobre o uso de métodos formais e técnicas de formal assurance na análise de uma implementação de criptografia baseada em curvas elípticas. O trabalho foi conduzido no contexto de uma simulação de consultoria técnica independente, com foco na identificação de violaçõe...
Franciny Salles Rojas Marin· Zenodo (CERN European Organi...· 0 citations
Exposure to the selected harmonic sound files significantly enhanced fibroblast gap closure under the experimental conditions used in this study, and supports the potential biological relevance of harmonic sound frequencies as used within the Information Medicine approach.
Peter C. Dartsch, Renee Steinmann· Applied Cell Biology· 0 citations
This research preprint reports a focused pilot study of consistency–latency trade-offs among direct PostgreSQL access, TTL cache-aside, invalidate-on-write, and write-through caching implemented as a database update followed by a synchronous Redis update. The experiment comprises 20 measured runs, with five repetitions...
Tabish Ali· Zenodo (CERN European Organi...· 0 citations
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This study demonstrates the importance of attending to nonverbal channels of communication in suicide assessments, especially those of the clinical interviewer and highlights the potential for automated coding to detect clinically meaningful information efficiently and objectively.
Ilana Gratch, Simon M. Li, Yu-Tong Zhu et al.· JMIR Formative Research· 0 citations
MILER, an end-to-end policy framework with zero-shot sim-to-real transfer of both perception and control, is presented and extensively evaluated on a diverse test track comprising numerous challenges.
Thomas Steinecker, Denis Trescher, Alexander Bienemann et al.· 0 citations
Autonomous underwater vehicles (AUVs) operating beyond reliable communications must recover from failures without human intervention. We investigate an architecture in which conventional deterministic layered control autonomy manages normal operations, while an invokable large language model (LLM) serves as a diagnosti...
Khalid Halba, Kylie Cooper, James G. Bellingham· 0 citations
This research addresses two main aspects that are key to Machine Learning (ML) software: customizability and performance by implementing an open-source FL framework named FastFederatedLearning (FFL), implemented in C/C++, focusing on code performance.
Gianluca Mittone, Robert Birke, Marco Aldinucci· Euro-Par Workshops· 1 citation
Landmark mathematical formalizations have taken specialist teams years to complete. We present FormalFlow, a system that coordinates AI proving agents under human supervision to address statement drift and proof composition in long-horizon formalization. Drawing on software engineering principles and practices, it uses...
Si-Rui Lu, Ruixuan Deng, Yan-Qiao Zhu et al.· 0 citations
A meta-analysis reveals a possible association between elevated TyG-BMI and higher risk of incident T2D in the general population and indicates that TyG-BMI may represent a potential marker associated with T2D risk stratification, although further studies are required to determine its clinical applicability.
Bo Dai, Hang Yu, Hao-Tian Qi et al.· Frontiers in Nutrition· 0 citations
Background/Objectives: Chagas disease is endemic to 21 Latin American countries and is a great public health problem. Current chemotherapy remains unsatisfactory; consequently, the need to search for new drugs persists. The aim of this work is to develop a machine learning computational model, which allows the identifi...
Juan A. Castillo‐Garit, Josué Pozo-Martínez, Esteban Rocha-Valderrama et al.· Pharmaceuticals· 0 citations
The administration of Security Clearance applications and restricted access ID Card issuance in airport environments currently faces significant operational obstacles due to conventional procedures relying on manual paper forms and physical archives. These real-world challenges include high risks of applicant data inac...
Muh. Batni Mukharroro, Mujib Ridwan· Jurnal Teknologi Dan Sistem...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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