Web of Science
PulseAugur coverage of Web of Science — every cluster mentioning Web of Science across labs, papers, and developer communities, ranked by signal.
- 2026-07-21 product_launch A new API called WOS was launched to manage long-term memory for AI agents. source
6 day(s) with sentiment data
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AI, Metrology, and ESG Intersect in Semiconductor Sustainability
A new scoping review published on arXiv examines the intersection of Artificial Intelligence (AI), metrology, and Environmental, Social, and Governance (ESG) factors within the semiconductor industry. The paper analyzes…
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New API WOS tackles AI agent memory and context length challenges
Two developers have created WOS, a new API designed to manage long-term memory for AI agents. This API addresses the issue of AI agents forgetting past interactions or requiring the full chat history to be re-sent with …
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UAV route planning for environmental monitoring reviewed
A systematic literature review is underway to synthesize research on autonomous Unmanned Aerial Vehicle (UAV) route planning for environmental monitoring. The review, following the PRISMA 2020 framework, has screened ov…
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Brain deformation modeling for neurosurgery reviewed: learning methods show promise but face clinical hurdles
This systematic review examines data-driven methods for brain deformation registration and modeling in image-guided neurosurgery, focusing on learning-based approaches developed between 2020 and 2025. Researchers analyz…
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AI classification systems reshape understanding of public administration scholarship
A new study published on arXiv explores how different scholarly representation systems, including AI-assisted methods, classify public administration (PA) and AI-in-PA scholarship. The research found significant discrep…
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Explainable AI shows promise for heart failure detection but faces limitations
A recent review of 20 studies indicates that while explainable artificial intelligence (XAI) shows promise for detecting and characterizing Stage B heart failure, its current implementation is limited. Key issues includ…
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AI and Machine Learning Applications in Libraries: A Systematic Review
A systematic review of empirical studies has synthesized research on the application of artificial intelligence (AI) and machine learning (ML) in libraries. The review, which analyzed thirty-two selected articles, found…
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New sampling method improves multi-label data balance
A new sampling method based on the multivariate Bernoulli distribution has been proposed for multi-label datasets where labels vary significantly in frequency. This novel algorithm accounts for label dependencies by est…
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LLMs and citation topology reconnect fragmented scientific networks
Researchers have developed a new framework to address fragmentation in citation networks by integrating citation topology with LLM-based text similarity. This hybrid approach augments existing citation graphs with seman…
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LLMs and citation topology reconnect fragmented academic networks
Researchers have developed a new framework to address fragmentation in citation networks by integrating citation topology with large language model-based text similarity. This hybrid approach uses LLMs to identify seman…