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Artificial Intelligence and Statistics [PDF]
Frontiers of Information Technology & Electronic Engineering, 2017Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, development of algorithms, and evaluation of results.
Kumbier, Karl, Yu, Bin
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, 2020
Artificial intelligence (AI) is loosely defined as machines that can accomplish tasks that humans would accomplish through thinking. This definition does not say anything about AI achieving this performance in ways similar to how we humans do it, however. The term artificial intelligence is used with two meanings.
Farchy, Joëlle, Denis, Juliette
openaire +6 more sources
Artificial intelligence (AI) is loosely defined as machines that can accomplish tasks that humans would accomplish through thinking. This definition does not say anything about AI achieving this performance in ways similar to how we humans do it, however. The term artificial intelligence is used with two meanings.
Farchy, Joëlle, Denis, Juliette
openaire +6 more sources
Structure of associative heterarchical memory
Российский технологический журнал, 2022Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin+3 more
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Data-centric Artificial Intelligence: A Survey [PDF]
ACM Computing Surveys, 2023Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler of its great success is the availability of abundant and high-quality data for building machine learning models.
D. Zha+6 more
semanticscholar +1 more source
Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Компьютерная оптика, 2023Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva+10 more
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Explainable Artificial Intelligence (XAI)
International Journal of Food and Nutritional Science, 2023Explainable Artificial Intelligence (XAI) has emerged as a critical facet in the realm of machine learning and artificial intelligence, responding to the increasing complexity of models, particularly deep neural networks, and the subsequent need for ...
Ranu Sewada+3 more
semanticscholar +1 more source
Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
BMC Bioinformatics, 2022Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
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Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]
, 2022Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and ...
Bali, Muhammad Mushfi El Iq+2 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics.
Shunyi Zhao+6 more
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This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics.
Shunyi Zhao+6 more
doaj +1 more source