With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
Researchers propose a roadmap for integrating AI translation into healthcare, discussing key workflow and quality concerns.
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Introduction Adolescence is a critical period marked by rapid brain development and the onset of many mental health disorders. Brain MRI studies during adolescence, especially when paired with ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
(CE) and methionine restriction (MetR) impacts health and leads to weight loss in mice. The authors provided valuable datasets showing that the responses to MR and CE are tissue-specific, while MR and ...
Abstract: In the domain of machine translation industry, this study formulates an evaluation system of innovation and entrepreneurship competency with the aid of the improved Onion Model, and utilizes ...
Inclusivity remains a cornerstone of the Mission. Unlike MNCs that focus on commercially viable languages, Bhashini is ...
Despite rapid advances in reading the genetic code of living organisms, scientists still face a major challenge today—knowing ...
What if the “self” you protect and defend isn’t something you are, but something your mind continually creates?
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