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Structure of associative heterarchical memory

Российский 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, V. A. Lelekova, V. Y. Stepankov, S. Fadeeva   +3 more
doaj   +1 more source

New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution [PDF]

Sustainability, 2023
The recent high performance of ChatGPT on several standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education.
Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib   +2 more
semanticscholar   +1 more source

Explainable Artificial Intelligence (XAI)

International 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, Ashwani Jangid, Piyush Kumar, Neha Mishra   +3 more
semanticscholar   +1 more source

Data-centric Artificial Intelligence: A Survey [PDF]

ACM 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, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu   +6 more
semanticscholar   +1 more source

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

BMC Medical Education, 2023
Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements
Shuroug A. Alowais, Sahar S. Alghamdi, Nada Alsuhebany, Tariq Alqahtani, Abdulrahman I. Alshaya, Sumaya N Almohareb, Atheer Aldairem, Mohammed A. Alrashed, Khalid Bin saleh, H. Badreldin, Majed S Al Yami, Shmeylan A. Al Harbi, Abdulkareem M. Albekairy   +12 more
semanticscholar   +1 more source

Risk stratification and pathway analysis based on graph neural network and interpretable algorithm

BMC 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

Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition

Компьютерная 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, D.V. Dimitrov, V.S. Arkhipkin, A.V. Shonenkov, M.S. Potanin, D.K. Karachev, A.V. Kuznetsov, A.D. Voronov, A.A. Petiushko, V.F. Davydova, E.V. Tutubalina   +10 more
doaj   +1 more source

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

, 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, Kumalasani, Maharani Putri, Yunilasari3, Devi   +2 more
core   +2 more sources

Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient

BioData Mining, 2021
Background The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue
Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta, Svetha Venkatesh   +4 more
doaj   +1 more source

Does an artificial intelligence perform market manipulation with its own discretion? -- A genetic algorithm learns in an artificial market simulation [PDF]

2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020
Who should be charged with responsibility for an artificial intelligence performing market manipulation have been discussed. In this study, I constructed an artificial intelligence using a genetic algorithm that learns in an artificial market simulation, and investigated whether the artificial intelligence discovers market manipulation through learning
arxiv   +1 more source