Results 131 to 140 of about 87,576,204 (331)

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source

Testing a deterministic implementation against a non-controllable non-deterministic stream X-machine [PDF]

open access: yes, 2008
A stream X-machine is a type of extended finite state machine with an associated development approach that consists of building a system from a set of trusted components.
Ipate, F, Hierons, RM
core  

Medicines, misinformation and machines: Navigating infodemics in the generative AI era

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Health information is now widely accessed through smartphones, online searches and increasingly through generative artificial intelligence (AI). These systems create new opportunities for communication, and in some routine contexts, well‐governed AI assistants could reduce exposure to lower quality sources by providing cautious, evidence‐aligned ...
Natansh D. Modi   +3 more
wiley   +1 more source

Unsupervised machine learning for multi‐system adverse event pattern detection in pharmacovigilance: A proof‐of‐concept analysis of fluoroquinolone reports in FAERS

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
. Aims Traditional pharmacovigilance detects single drug–event associations but cannot readily characterize multi‐system adverse‐event patterns such as fluoroquinolone‐associated disability. We evaluated unsupervised machine learning for this purpose, using fluoroquinolones as an exemplar.
Niaz Chalabianloo   +3 more
wiley   +1 more source

Engineering programmable peptide hydrogels for chronic refractory wounds: A mechanism‐driven framework

open access: yesBMEMat, EarlyView.
To break the self‐perpetuating pathology of chronic wounds, we propose a mechanism‐driven engineering framework for peptide‐based hydrogels. This review elucidates a hierarchical strategy—from molecular design to intelligent, multi‐functional systems—that enables these programmable biomaterials to dynamically intervene in key pathological loops and ...
Xiaoyu Lv   +3 more
wiley   +1 more source

Machine-to-Machine Communications [PDF]

open access: yesOECD Digital Economy Papers, 2012
openaire   +1 more source

Corporate Decarbonization via Technology and Management

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran   +2 more
wiley   +1 more source

Governing Artificial Intelligence and Digital Economy for Sustainability: Does Institutional Quality Help or Hinder SDGs Progress Across OECD Countries?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how artificial intelligence (AI) can support sustainable development strategies in OECD countries, particularly in achieving the United Nations Sustainable Development Goals (SDGs). The study contributes to the literature by investigating the role of AI as a transformative enabler of sustainable business strategies ...
Muskan Sahu   +2 more
wiley   +1 more source

Sustaining Circular Innovation Under Volatile Market Conditions: The Critical Role of Industry Platforms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT While industry platforms are widely recognized as enablers of circular innovation, we still know little about how they evolve to scale and sustain innovation as economic conditions tighten and circular economy funding schemes become more selective.
Eva Qi Wang   +3 more
wiley   +1 more source

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