Results 41 to 50 of about 781,393 (257)
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
ARTIFICIAL INTELLIGENCE (AI) AND ETHICAL ARTIFICIAL INTELLIGENCE (EAI)
International Journal of the Analytic Hierarchy Process, 2021 The concept of AI is a relatively new concept that is being used with increasing frequency. The importance of this concept has to do in general with the increased capacity of what we understand as intelligence. However, it is a delicate concept and easy to misuse and / or misinterpret.
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Can the g Factor Play a Role in Artificial General Intelligence Research? [PDF]
, 2018 In recent years, a trend in AI research has started to pursue human-level, general artificial intelli-gence (AGI). Although the AGI framework is characterised by different viewpoints on what intelligence is and how to implement it in artificial systems ...
Frixione, Marcello, Serpico, Davide
core +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Human mobility prediction with causal and spatial-constrained multi-task network
EPJ Data ScienceModeling human mobility helps to understand how people are accessing resources and physically contacting with each other in cities, and thus contributes to various applications such as urban planning, epidemic control, and location-based advertisement ...
Zongyuan Huang +5 more
doaj +1 more source
Deep learning in bladder cancer imaging: A review
Frontiers in Oncology, 2022 Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of deep learning originates from research on artificial neural networks and is an upgrade of traditional neural networks.
Mingyang Li +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song +6 more
wiley +1 more source
Scientific ReportsIdentifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests.
Zeynep Akkutay-Yoldar +9 more
doaj +1 more source
AAC and Artificial Intelligence (AI)
Topics in Language Disorders, 2019 Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)?
Sennott, Samuel +3 more
openaire +4 more sources
Artificial Intelligence (AI) Ethics
Journal of Database Management, 2020 Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy,
SIAU, Keng, WANG, Weiyu
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