Explore the ecosystem

Explainable and trustworthy artificial intelligence, machine learning, and deep learning

The swift progression of artificial intelligence (AI), machine learning (ML), and deep learning (DL) has transformed different industries, offering unprecedented efficiency and innovation. Nevertheless, the growing intricacy and lack of transparency of these t

Suraj Kumar Mallick

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Machine Learning for Core-loss Spectrum

Characterization is indispensable for developing functional materials and molecules. In particular, spectroscopy provides atomic configuration, chemical bonding, and vibrational information, which are crucial for understanding the mechanism underlying the func

Optimizing Rating Engines through AI and Machine Learning: Revolutionizing Pricing Precision

Customer Churn Prediction Using Machine Learning

Meghali Das

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Purnima Pal

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Garima Srivastava

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Explainable Artificial Intelligence and sustainable computing in Machine Learning

Abnormality Classifications Using Machine Learning

Introduction

Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service

Ethics in Machine Learning and Artificial Intelligence

Cheng-Chu Lin

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Ibnu Siswanto

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Innovations in Online Education: What Works?

Marcia C. Linn presents “Innovations in Online Education: What Works?” Marcia C. Linn is a professor at the University of California, Berkeley, and a leading researcher in the use of technology for teaching mathematics and science. Linn's talk on "Innovati

Marcia C. Linn

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INNOVATION TRAINING AND DEVELOPMENT TECHNOLOGIES FOR MANAGERIAL PERSONNEL

Urgency of the research. Implementation of the innovation training and development technologies is the basis for the effective human resources use and their effectiveness increasing. Target setting. Interest in the professionalization process of managerial sta

Yuriy Safonov

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Y. I. Maslennikov

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