AI
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How to Evaluate Medical AI
Source: arXiv AI PapersRead more: How to Evaluate Medical AIA new study introduces two evaluation metrics, RPAD and RRAD, for assessing AI performance in medical diagnostics. These metrics account…
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Neuro-Symbolic Agents with Modal Logic for Autonomous Diagnostics
Source: arXiv AI PapersRead more: Neuro-Symbolic Agents with Modal Logic for Autonomous DiagnosticsA new neuro-symbolic architecture for intelligent agents has been proposed, focusing on decision-making in complex environments. This model integrates language…
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Agentic Temporal Graph of Reasoning with Multimodal Language Models: A Potential AI Aid to Healthcare
Source: arXiv AI PapersRead more: Agentic Temporal Graph of Reasoning with Multimodal Language Models: A Potential AI Aid to HealthcareA novel temporal graph-based reasoning model aims to enhance multimodal medical diagnostics. This approach addresses current limitations in reasoning accuracy…
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MusicSwarm: Biologically Inspired Intelligence for Music Composition
Source: arXiv AI PapersRead more: MusicSwarm: Biologically Inspired Intelligence for Music CompositionA study demonstrates that decentralized, identical foundation models can spontaneously produce complex musical compositions. This method emphasizes peer-to-peer coordination without…
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Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Source: arXiv AI PapersRead more: Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive AdaptationThis study introduces Bidirectional Cognitive Alignment (BiCA), a new paradigm for AI alignment where both humans and AI adapt to…
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Advancing Medical Artificial Intelligence Using a Century of Cases
Source: arXiv AI PapersRead more: Advancing Medical Artificial Intelligence Using a Century of CasesA recent study evaluates the performance of large language models in medical reasoning using a new benchmark, CPC-Bench. The AI…
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Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks
Source: arXiv AI PapersRead more: Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural NetworksRecent research explores the use of convolutional neural networks (CNNs) for audio classification. The study emphasizes the effectiveness of mel-scaled…
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DSRAG: A Domain-Specific Retrieval Framework Based on Document-derived Multimodal Knowledge Graph
Source: arXiv AI PapersRead more: DSRAG: A Domain-Specific Retrieval Framework Based on Document-derived Multimodal Knowledge GraphThis research introduces DSRAG, a graph-based retrieval-augmented generation framework tailored for domain-specific applications. It addresses challenges in knowledge accuracy and…
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Real-Time RAG for the Identification of Supply Chain Vulnerabilities
Source: arXiv AI PapersRead more: Real-Time RAG for the Identification of Supply Chain VulnerabilitiesRecent advancements in generative AI provide new methods for analyzing supply chains through updated data integration. This research highlights the…
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FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
Source: arXiv AI PapersRead more: FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for FreeThe FEDEXCHANGE framework improves federated object detection by allowing clients to share model insights without accessing local data. This method…