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2,696 papers
Malware is one of the major threats to modern computer systems, mobile devices, cloud platforms, and networks. Traditional signature-based antivirus systems are effective against known malware but often have difficulty detecting new, polymorphic, obfuscated, and zero-day variants. Machine Learning (ML) provides a data-...
Today's healthcare systems represent complex adaptive systems that involve stochastic demand, tight coupling between subsystems, and nonlinearity of resource constraints. This paper proposes the Autonomous Healthcare Control System (AHCS), which brings together such approaches as stochastic state space models, Markov D...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23397337. Lassota and colleagues ask whether the selection of Dscam variable exons is really the stochastic process the field has assumed. They build a dual-amplification splicing r...
Generative artificial intelligence (AI) is increasingly involved in selecting, interpreting, and generating news content. This conceptual article examines what that involvement means for journalistic role theory and news production. Building on the journalistic role performance framework, we argue that AI can materiall...
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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23392777. 1. Summary of the Work This manuscript offers a valuable and timely empirical analysis of the data-availability (blob) fee mechanism introduced in Ethereum by EIP-4844. By...
This research paper explains the transformation of traditional libraries into digital libraries due to the rapid development of Information and Communication Technology (ICT). The paper discusses the concept, need, major features, benefits, and limitations of digital libraries. It also describes modern services provide...
This article discusses the benefits and challenges of using artificial intelligence in academic writing. It explains how AI can help teachers and students improve texts, correct grammar, and organize ideas while stressing the need to verify information and use AI responsibly.
This chapter reviews the development of video summarisation using handcrafted features and deep learning models, the recent advances in transformer-based, vision-language, multimodal learning, and large language models for video summarisation. It introduces the main steps of the summarization pipeline: keyframes extrac...
This report summarizes discussions that took place in the context of a Dagstuhl seminar1 to explore the emerging paradigm of AI-native databases designed to support agentic workflows and Retrieval-Augmented Generation (RAG) by integrating Large Language Models (LLMs) with robust database abstractions. The central synth...
The O-RAN ALLIANCE introduces architectural flexibility through disaggregation and AI-driven control. While the RAN Intelligent Controller (RIC) enables centralized optimization, current AI approaches lack reasoning capabilities and explainability. We propose eXplainable RIC (X-RIC), a novel framework integrating agent...
When students can obtain a script that runs, it can be easy for them to believe they understand the programming behind it. AI tools make this tension more visible. Students can now generate code, examples, explanations, and error-message fixes quickly, even while they are still developing basic programming fluency. Thi...
Generative AI is increasingly common in education, but its effect on student learning depends largely on how it is used. This interactive session will introduce practical strategies for creating custom AI chatbots that encourage students to think through problems rather than simply ask for answers. Participants will ex...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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