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Artificial Intelligence and Statistics [PDF]

open access: yesFrontiers of Information Technology & Electronic Engineering, 2017
Artificial 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
core   +3 more sources

ARTIFICIAL INTELLIGENCE [PDF]

open access: greenBritish Medical Bulletin, 1971
Christopher Longuet‐Higgins
openalex   +3 more sources

Artificial Intelligence [PDF]

open access: yes, 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

Structure of associative heterarchical memory

open access: yesРоссийский технологический журнал, 2022
Objectives. 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
doaj   +1 more source

Data-centric Artificial Intelligence: A Survey [PDF]

open access: yesACM Computing Surveys, 2023
Artificial 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

open access: yesКомпьютерная оптика, 2023
Supporting 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
doaj   +1 more source

Explainable Artificial Intelligence (XAI)

open access: yesInternational Journal of Food and Nutritional Science, 2023
Explainable 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

open access: yesBMC Bioinformatics, 2022
Background 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
doaj   +1 more source

Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]

open access: yes, 2022
Artificial 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
core   +2 more sources

A Learning-Free Method for Locomotion Mode Prediction by Terrain Reconstruction and Visual-Inertial Odometry

open access: yesIEEE 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
doaj   +1 more source

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