Results 101 to 110 of about 3,282,089 (344)
Artificial Intelligence Powers Protein Functional Annotation
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang +4 more
wiley +1 more source
TacticAI: an AI assistant for football tactics
Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge.
Zhe Wang +22 more
doaj +1 more source
Exploring Image Virality in Google Plus
Reactions to posts in an online social network show different dynamics depending on several textual features of the corresponding content. Do similar dynamics exist when images are posted?
Albanese, Davide +2 more
core +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Impedance plethysmography (IPG) and photoplethysmography (PPG) are non-invasive techniques for measuring blood volume changes. This study investigated the differential responses of IPG and PPG to temperature-mediated vasoconstriction induced by localized
Seobin Jung +6 more
doaj +1 more source
Top Ten Google Apps Tool Tips [PDF]
There\u27s at least ten Google Drive, Docs, Forms, and Sheets items I couldn\u27t live without and not one of them is an Add-on. While this isn\u27t a hands-on workshop, you may follow along on your own laptop as I demonstrate uses for Quick Sum, Explore,
Durkacs, Suzanne
core +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Development and evaluation of deep learning models for cardiotocography interpretation
The variability in the visual interpretation of cardiotocograms (CTGs) poses substantial challenges in obstetric care. Despite recent strides in automated CTG interpretation for early detection of fetal hypoxia, the comparative efficacy of objective ...
Nicole Chiou +8 more
doaj +1 more source
The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das +9 more
wiley +1 more source
STELA: a community-centred approach to norm elicitation for AI alignment
Value alignment, the process of ensuring that artificial intelligence (AI) systems are aligned with human values and goals, is a critical issue in AI research.
Stevie Bergman +5 more
doaj +1 more source

