標(biāo)題: Titlebook: Bridging Human Intelligence and Artificial Intelligence; Mark V. Albert,Lin Lin,Lemoyne S. Dunn Book 2022 Association for Educational Comm [打印本頁] 作者: FLUX 時(shí)間: 2025-3-21 18:19
書目名稱Bridging Human Intelligence and Artificial Intelligence影響因子(影響力)
書目名稱Bridging Human Intelligence and Artificial Intelligence影響因子(影響力)學(xué)科排名
書目名稱Bridging Human Intelligence and Artificial Intelligence網(wǎng)絡(luò)公開度
書目名稱Bridging Human Intelligence and Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bridging Human Intelligence and Artificial Intelligence被引頻次
書目名稱Bridging Human Intelligence and Artificial Intelligence被引頻次學(xué)科排名
書目名稱Bridging Human Intelligence and Artificial Intelligence年度引用
書目名稱Bridging Human Intelligence and Artificial Intelligence年度引用學(xué)科排名
書目名稱Bridging Human Intelligence and Artificial Intelligence讀者反饋
書目名稱Bridging Human Intelligence and Artificial Intelligence讀者反饋學(xué)科排名
作者: 匍匐前進(jìn) 時(shí)間: 2025-3-21 20:31
https://doi.org/10.1007/978-3-322-97794-6are presented followed by different pre-trained models in the fields of computer vision and natural language processing. We explored prominent models like VGG-16, Inception, ULMFiT, and BERT. After mentioning the successful models, applications and limitations of transfer learning have been discussed.作者: Constituent 時(shí)間: 2025-3-22 01:23 作者: 祝賀 時(shí)間: 2025-3-22 07:36
Book 2022of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and implementing advances technologies in learning and instruction, and focus on the emerging themes of artificial intelligence, human-computer interactions, and t作者: Terrace 時(shí)間: 2025-3-22 12:06 作者: figurine 時(shí)間: 2025-3-22 14:51 作者: 錯(cuò) 時(shí)間: 2025-3-22 19:58 作者: 山間窄路 時(shí)間: 2025-3-22 22:31 作者: abnegate 時(shí)間: 2025-3-23 02:58 作者: 拖債 時(shí)間: 2025-3-23 06:07
,Bedingte Immunisierung von Entnahmepl?nen, subcortical nuclei that are responsible for a host of tasks including procedural learning, cognition, and emotion. Within this chapter, the parallels between the basal ganglia and current machine learning are clearly evaluated with thoughtful deliberation of their future relationship.作者: 填料 時(shí)間: 2025-3-23 11:13 作者: modish 時(shí)間: 2025-3-23 15:17 作者: observatory 時(shí)間: 2025-3-23 19:22
AI-Enhanced Education: Teaching and Learning Reimaginedcation administration, instructors, and learners, this chapter provides an outline of the practical application of AI in multiple educational scenarios and serves as the reference for decisions on application selection and adoption in AI-featured smart education.作者: 錫箔紙 時(shí)間: 2025-3-24 00:08 作者: 鑒賞家 時(shí)間: 2025-3-24 03:03
Bridging Human Intelligence and Artificial Intelligence978-3-030-84729-6Series ISSN 2625-0004 Series E-ISSN 2625-0012 作者: 傷心 時(shí)間: 2025-3-24 06:51
Mark V. Albert,Lin Lin,Lemoyne S. DunnOffers a forward-thinking, multi perspective for significant and sustained improvement in learning at all levels.Includes links to promising technologies available at no cost and accessible to all rea作者: 美食家 時(shí)間: 2025-3-24 10:50
Educational Communications and Technology: Issues and Innovationshttp://image.papertrans.cn/b/image/190760.jpg作者: jarring 時(shí)間: 2025-3-24 18:42 作者: 外貌 時(shí)間: 2025-3-24 19:12 作者: 鄙視 時(shí)間: 2025-3-25 00:03
Management von Unternehmensnetzwerkenross a wide variety of disciplines. This chapter aims to point out some of the main concepts and models of this attractive area of research while considering data-oriented and human learning approaches. We try to provide an understandable overview of common models, including supervised and unsupervi作者: Anterior 時(shí)間: 2025-3-25 04:57 作者: incarcerate 時(shí)間: 2025-3-25 11:05 作者: 中和 時(shí)間: 2025-3-25 13:35
Management von Verfügungsrechtenm tasks are object recognition, low-level processing, representation, model construction, and matching subtasks. One of the classical problems addressed by machine vision is object recognition determining whether or not the image data contains some specific object, feature, or activity. Object recog作者: employor 時(shí)間: 2025-3-25 15:56
https://doi.org/10.1007/978-3-8350-9066-8he success, a surge in the availability of unstructured data over the last decade has motivated the exploration of new approaches to process and analyze unstructured data. Natural language processing (NLP) concerns how computers can address the problem of analyzing natural language, a ubiquitous for作者: 牌帶來 時(shí)間: 2025-3-25 23:51
https://doi.org/10.1007/978-3-8350-9066-8er, the authors first provide the rationale of AI application in education, and then briefly review the learning analytics and machine learning at the technological foundation of AI educational applications. By reviewing the available AI educational products and services from the perspectives of edu作者: HEAVY 時(shí)間: 2025-3-26 01:06 作者: 對待 時(shí)間: 2025-3-26 05:21
https://doi.org/10.1007/978-3-8350-9066-8 people. With the growing popularity of virtual reality and the ideations of implementations for education, it is important to consider both the possible applications and unintended consequences of the technology. Critics of proposed educational implementations of virtual reality are concerned with 作者: 值得 時(shí)間: 2025-3-26 11:35 作者: BALK 時(shí)間: 2025-3-26 16:07
Das Wichtigste über Webprojekte00s by the French physicist André-Marie Ampère in his attempt to classify it as the science of the control governments (Britannica, 2014). The term was quickly forgotten, and it took nearly one century for it to be used again. The American mathematician Norbert Wiener described it in his book as “th作者: 表狀態(tài) 時(shí)間: 2025-3-26 18:51 作者: 石墨 時(shí)間: 2025-3-26 22:31 作者: Expediency 時(shí)間: 2025-3-27 01:48
https://doi.org/10.1007/978-3-322-85889-4 visual stream is an integral part of the parietal lobe, specifically involved with visual input for action and spatial awareness. This chapter is devoted to exploring the “where” and “how” aspects of human visual processing and how AI has begun to parallel that same function. We first overview the 作者: 媒介 時(shí)間: 2025-3-27 07:27
https://doi.org/10.1007/978-3-662-41537-5governs long-term memory, allowing humans to make educated decisions based on learned information. One type of neural network that has a “memory” is the long short-term memory network (LSTM). LSTMs are composed of cells that have special gates allowing them to remember or forget certain information.作者: Osteoarthritis 時(shí)間: 2025-3-27 10:58
,Bedingte Immunisierung von Entnahmepl?nen,icial results. Similar to any other structure, the process of reinforcement learning was adopted and implemented into models of machine learning with ever-evolving complexity. This chapter attempts to outline the philosophy and terminology associated with reinforcement learning in machines while als作者: 輕快帶來危險(xiǎn) 時(shí)間: 2025-3-27 14:44 作者: 收養(yǎng) 時(shí)間: 2025-3-27 21:24
Deep Learning, Why Neural Networks Are State of the Artks (CNNs) and recurrent neural networks (RNNs), are discussed. Finally, after mentioning various successful applications of deep neural networks, their limitations, including bias and the “black box” problem, are explained.作者: ordain 時(shí)間: 2025-3-27 23:07 作者: 珍奇 時(shí)間: 2025-3-28 02:14 作者: zonules 時(shí)間: 2025-3-28 07:06 作者: 婚姻生活 時(shí)間: 2025-3-28 12:31
Cybernetic Systems: Technology Embedded into the Human Experiencen close contact with human epithelial surfaces and brain structures, helping to transmit external signals more efficiently to human systems, and improving processing speed of humans. Neuralink, for instance, is a brain–machine interface where polymer strings and electrodes transmit electrophysiologi作者: 智力高 時(shí)間: 2025-3-28 17:17
Early Visual Processing: A Computational Approach to Understanding Primary Visual Cortexe codes. We further explore the potential AI applications of human neuroanatomy related to early visual processing. Thus, this chapter depicts the bridging of human neuroanatomy and artificial intelligence by showing the similarities between early visual processing in mammals and computational paral作者: 臭名昭著 時(shí)間: 2025-3-28 20:52
Visual Object Recognition: The Processing Hierarchy of the Temporal Lobeson to show not only how current visual object recognition is derived directly from how the brain functions, but also to identify the functionalities that we have yet to digitally replicate effectively, and where there is room for imagination. We are still dependent on large amounts of data, extensi作者: STALE 時(shí)間: 2025-3-29 02:20 作者: bonnet 時(shí)間: 2025-3-29 07:04 作者: 催眠藥 時(shí)間: 2025-3-29 09:47
2625-0004 e primary audience for this volume is academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer 978-3-030-84731-9978-3-030-84729-6Series ISSN 2625-0004 Series E-ISSN 2625-0012 作者: Antioxidant 時(shí)間: 2025-3-29 14:47 作者: 無法取消 時(shí)間: 2025-3-29 17:09 作者: emission 時(shí)間: 2025-3-29 20:03
Management von Unternehmensnetzwerkenks (CNNs) and recurrent neural networks (RNNs), are discussed. Finally, after mentioning various successful applications of deep neural networks, their limitations, including bias and the “black box” problem, are explained.作者: 贊成你 時(shí)間: 2025-3-30 03:30
https://doi.org/10.1007/978-3-8350-9066-8he overall goal of enabling human-like comprehension in machines..Human language is complex and ambiguous, thus making language processing challenging. Complexity of human language allows for infinite ways of expression; however, this diversity hinders the creation of a consistent metric to evaluate作者: 的事物 時(shí)間: 2025-3-30 04:33 作者: Lacunar-Stroke 時(shí)間: 2025-3-30 09:01
https://doi.org/10.1007/978-3-540-71195-7ons. Augmented intelligence has blended into many notable industries, including but not limited to business, entertainment, education, health, and travel. Future applications of this technology are constantly evolving as new augmented intelligence uses find their way in various aspects of life. Whil作者: Melanocytes 時(shí)間: 2025-3-30 14:34
Das Wichtigste über Webprojekten close contact with human epithelial surfaces and brain structures, helping to transmit external signals more efficiently to human systems, and improving processing speed of humans. Neuralink, for instance, is a brain–machine interface where polymer strings and electrodes transmit electrophysiologi作者: 饑荒 時(shí)間: 2025-3-30 18:04 作者: Digest 時(shí)間: 2025-3-30 21:14
Management von Wechselkursrisikenson to show not only how current visual object recognition is derived directly from how the brain functions, but also to identify the functionalities that we have yet to digitally replicate effectively, and where there is room for imagination. We are still dependent on large amounts of data, extensi作者: 歌唱隊(duì) 時(shí)間: 2025-3-31 02:50
https://doi.org/10.1007/978-3-322-85889-4those who have dorsal stream damage, such technology could also translate into the fields of media and entertainment, customer service, and many other technological facets. Ultimately, this chapter analyzes how certain AI models are inspired by the function of dorsal visual stream to further technol作者: 收到 時(shí)間: 2025-3-31 06:36
