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3,317 papers
The next big jump will not be driven by larger parameters, but smaller, more visible and dynamic systems that can be trusted by security analysts, as well as a disconnect between lab and reality.
Three-dimensional printing is currently closer to routine clinical use than vascular bioprinting, particularly in anatomical modeling, treatment planning, procedural simulation, education, and patient communication.
Clinical deployment of artificial intelligence-generated radiology reports requires explicit entity-relation validation, structured accuracy assessment, and radiologist oversight to protect patient safety, and these findings reinforce a broader principle.
The Concept Tree Learner is introduced, an incremental and interpretable symbolic framework that induces logical concepts over binary strings from minimal labeled data and generalizes substantially better to unseen strings than both a classical entropy-based decision tree and the RIPPER rule learner.
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This study designs, prototypes, and evaluates Servi.AI, a personality-aware multi-agent intelligent decision support system for enterprise strategy, and finds that selective rather than default deployment is supported.
The writing skills of second-grade students at SD Negeri 4 Made Lamongan remain low, as shown by approximately 60% of students who have not reached the Minimum Completeness Criteria, particularly in composing simple sentences and developing vocabulary. Indonesian language learning that is still dominated by lecture-bas...
The developed system successfully performs all major functions, including managing drug, category, and supplier data; recording purchase and sales transactions; automatically updating inventory; providing notifications for minimum stock levels and medicines approaching their expiration dates; and printing transaction r...
Phishing conducted in Swahili has become a persistent threat to the millions of Tanzanians who depend on mobile-money services, yet the detection tools in common use are built for English and transfer poorly to a language whose morphology, register, and transactional vocabulary differ sharply from it. This study makes...
A multimodal long-term forecasting framework that integrates frequency-aware signal decomposition with semantic-enhanced representation learning and provides a modular and interpretable architecture combining frequency-aware and semantic-aware processing for intelligent system management is proposed.
Learning to read is a process and milestone with far-reaching implications for education, vocation, and health. Most models and empirical studies of reading development, however, focus on school entry and often limit potential influences to children's oral language and print-based skills. In contrast, a smaller corpus...
This work constructs KorMMP, a benchmark keeping real regulator-sourced scam audio and real benign speech but decorrelating transcript from label, and MiLTL, an on-device detector built on affective and neutrosophic channels, including a cross-modal contradiction signal formulated to weigh lexical warmth against vocal...
Averaging repeated answers removes only the smaller, random component; the larger, systematic one persists and requires calibration against reference data before clinical use can be considered.
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 IBM Research on Hugging Face
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