Publications
Bayesian Methods for Artificial Intelligence and Machine Learning
Bayesian methods provide a framework for representing and manipulating uncertainty, for learning from noisy data, and for making decisions that maximize expected utility----components which are important to both AI and Machine Learning. However, although Bayes
Read and explore →Information technology � Artificial intelligence � Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems
Read and explore →Artificial Intelligence and IT Management
Read and explore →Machine Learning, Clustering and Polymorphy
Read and explore →Basics of machine learning and artificial intelligence methods in toxicology and environmental health
Read and explore →Quantum Computing in Artificial Intelligence: Exploring the Intersection of Quantum Algorithms and Machine Learning Models
Read and explore →Machine learning and artificial intelligence for risk management
Read and explore →Convergence of intelligence: Exploring the integration of artificial intelligence, machine learning and blockchain
Read and explore →Revolutionising Finance: Analysing the Impact of Machine Learning and Artificial Intelligence in Algorithmic Trading
Read and explore →Artificial Intelligence/Machine Learning in Nuclear Medicine
Read and explore →Artificial Intelligence and Machine Learning Techniques for Automated Assessment and Evaluation Systems
The integration of Artificial Intelligence (AI) and Machine Learning (ML) in automated assessment and evaluation systems has revolutionized the educational landscape by offering efficient, scalable, and personalized learning experiences. These advanced technol
Read and explore →Artificial Intelligence and the Cloud
Read and explore →Artificial Intelligence and Machine Learning: Foundations, Algorithms, and Applications
Read and explore →Artificial Intelligence and Medical Devices
Read and explore →Analysis of Alternatives (AoA) of Open Colllaboration and Research Capabilities Collaboratipon in Research and Engineering in Advanced Technology and Education and High-Performance Computing Innovation Center (HPCIC) on the LVOC.
The Livermore Valley Open Campus (LVOC), a joint initiative of the National Nuclear Security Administration (NNSA), Lawrence Livermore National Laboratory (LLNL), and Sandia National Laboratories (SNL), enhances the national security missions of NNSA by promot
Read and explore →Retraction: Research on the Innovation of Ideological and Political Education in Colleges and Universities Based on Computer Technology (J. Phys.: Conf. Ser. 1648 022125)
This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was c
Read and explore →Technology Innovation in STEM Education
The study examines research articles on STEM education and its technology innovation that have been indexed by the Scopus, Web of Science (WoS) databases, Springer, and Google, and aims to provide an in-depth analysis of the high-impact empirical studies in ST
Read and explore →Research Based on Innovation and Entrepreneurship Driven by "Four Wheels" and Combination of Professional Education and Teaching ——Taking the "Specialty of Computer Application Technology in Hunan Applied Technology University" as an Example
Implementing innovation and entrepreneurship education by combining with professional education in universities and colleges is an important measure to promote higher-quality employment and entrepreneurship of the graduates. The problems existing in the fusing
Read and explore →Research on Implementation Pathways for Computer Vision Technology in Dual-Track Teaching Reform of Innovation and Entrepreneurship Education for Vocational Higher Education Art Programs Driven by Artificial Intelligence
This study integrates computer vision into the dual-track teaching reform of higher vocational art programs within the innovation and entrepreneurship framework. A reproducible analytical pipeline was developed using convolutional feature extraction, supervise
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