Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...
Harsh Verma· European journal of computer...· 0 citations
The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...
Harsh Verma· European journal of computer...· 0 citations
Code, data and analysis outputs accompanying the MSc thesis "An Empirical Comparison of Prompting, Label-Only Fine-Tuning, and Skill Refinement for Software Vulnerability Detection with Large Language Models" (Ferran Solanes Serrat, KTH Royal Institute of Technology, 2026). Code: MIT licence. The MVFSC benchmark in dat...
Ferran32· Zenodo (CERN European Organi...· 0 citations
Predicting student performance has become a vital objective in educational data mining, however existing models remain limited by limited feature sets, opaque decision processes, and the absence of real-time, context-aware interpretative intelligence. This study presents a novel hybrid Artificial Intelligence (AI) arch...
Syed Rafiq ul Hoda, Eric Atwell, Mirza Mahmood Baig· Intelligent Data Analysis· 0 citations
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Large language model (LLM)-based creative AI systems tend to produce plausible rather than novel research ideas. This study compares two ways of generating research hypotheses: a genetic algorithm (GA) that recombines Method, Problem, and Goal elements under a fitness function rewarding distance from the literature and...
The rapid spread of misinformation on social media platforms escalates a serious threat to world socio-political stability, health and financial security. While current automated fake news detection models boast impressive accuracy scores, these are often due to memorisation of the training domain rather than genuine g...
J. Balaraju, Karthik Jilla· Journal of Web Engineering· 0 citations
This dataset contains the experimental materials for a study on whether publicly accessible conversational large language models (ChatGPT, Claude, Gemini and Microsoft Copilot) can generate road freight driver schedules that comply with EU driving-time and rest-period rules (Regulation (EC) No 561/2006 and Regulation (...
Anonymous Authors· Zenodo (CERN European Organi...· 0 citations
Generative Artificial Intelligence (GAI) systems increasingly function as communicative agents, raising questions about how credibility is constructed in them. Drawing on Aristotle's concept of ethos, this study examines how credibility is performed through interface‑level cues in large language model (LLM) chatbots: C...
Frederick F. Sunkpal· ACM International Conference...· 0 citations
Abstract Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. However, large-scale lexical datasets linking Arabic words to precise definitions remain limited. We present MURAD (Multi-domain Unified Reverse Arabic Dictionary), an open lex...
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.