Search
Search Results
-
Brain Informatics 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings
This book constitutes the proceedings of the 16th International Conference on Brain Informatics, BI 2023, which was held in Hoboken, NJ, USA, during...
-
The impact of brain-drain in country ranking: the case of computer science
The scientific impact and rankings of individual persons, institutions, or nations are very important for their international recognition and...
-
Using Learning Theory and Brain Science to Guide Training
Learning theories guide how training is designed, developed, and evaluated. Using learning theories to direct training design results in improved...
-
Brain Informatics 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings
This book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua,...
-
What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective
Scientists studying in the fields of AI and neuroscience can learn much from each other, but unfortunately, since about the 1950s, it has been mostly...
-
Brain works principle followed by neural information processing: a review of novel brain theory
The way the brain work and its principle of work has long been a big scientific question that scientists have dreamed of solving. However, as is...
-
Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial...
-
History, Status, and Development of AI-Based Learning Science
The development and innovation of data mining, learning analysis, and artificial intelligence have brought new opportunities to promote the study of...
-
Brain Principles Programming
The monograph “Strong Artificial Intelligence. On the Approaches to Superintelligence”, referenced by this paper, provides a cross-disciplinary...
-
Brain-Inspired Reservoir Computing Models
This chapter presents an overview of brain-inspired reservoir computing models for sensory-motor information processing in the brain. These models...
-
Confessions of an AI Brain
Have you thought of how it feels to be an AI brain in the world of humans? This book allows such a brain to tell us how it takes on its mission of...
-
Data Science: Key Directions, Problems, and Perspectives
Abstract—This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional...
-
Investigating brain activity patterns during learning tasks through EEG and machine learning analysis
The objective of this study was to analyze brain activity during different STEM (Science, Technology, Engineering, and Mathematics) activities in...
-
Examining the reliability of brain age algorithms under varying degrees of participant motion
Brain age algorithms using data science and machine learning techniques show promise as biomarkers for neurodegenerative disorders and aging....
-
Data Science Process
With lucrative and millions of job offerings in data science, there are many who aspire to be a data scientist. With the proper learning path, it is...
-
Data Science for Social Science and Digital Humanities Research
In this chapterDigital Humanities and in Chap. 20 , we focus on the third component of the MERge modelMERge...
-
Data Science Thinking
This chapter highlights the cognitive aspect of data science. It presents a variety of modes of thinking, which are associated with the different...
-
Emotion recognition with EEG-based brain-computer interfaces: a systematic literature review
Electroencephalography (EEG)-based Brain-Computer Interface (BCI) systems for emotion recognition have the potential to assist the enrichment of...
-
Spatial Data Science
Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve...
-
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and...