Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132224434
Category : Language Arts & Disciplines
Languages : en
Pages : 217
Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.
Attention and Vision in Language Processing
Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132224434
Category : Language Arts & Disciplines
Languages : en
Pages : 217
Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.
Publisher: Springer
ISBN: 8132224434
Category : Language Arts & Disciplines
Languages : en
Pages : 217
Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.
Interaction Between Attention and Language Systems in Humans
Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132225929
Category : Psychology
Languages : en
Pages : 264
Book Description
This original volume examines the interface between attentional and linguistic processes in humans from the perspectives of psycholinguistics and cognitive science. It systematically explores how autonomy and automaticity are reflected during language processing in a variety of situations. A true, mechanistic explanation of how humans process language would require a complete understanding of the interface language has with important cognitive systems like attention, memory, as well as with vision. Interdisciplinary work in this area has so far not been able to generate a substantial theoretical position on this issue. This volume therefore looks at different language processing domains, such as speaking, listening, reading, as well as discourse and text processing, to evaluate the role attention plays in such performances; and also at how often linguistic inputs affect attentional processing. In this sense, it proposes that the attention--language interface is bidirectional. It also considers applied issues like language disorders, bilingualism and illiteracy, where the attention--language interface seems especially relevant as a theoretical apparatus for research investigations. Therefore, this volume brings closer theoretical explanations from the language sciences and cognitive sciences. It argues that language processing is multi-modal in its very essence and many conceptual structures in language evolve out of a complex interplay among participating cognitive systems such as attention and memory, supported by vision and audition.
Publisher: Springer
ISBN: 8132225929
Category : Psychology
Languages : en
Pages : 264
Book Description
This original volume examines the interface between attentional and linguistic processes in humans from the perspectives of psycholinguistics and cognitive science. It systematically explores how autonomy and automaticity are reflected during language processing in a variety of situations. A true, mechanistic explanation of how humans process language would require a complete understanding of the interface language has with important cognitive systems like attention, memory, as well as with vision. Interdisciplinary work in this area has so far not been able to generate a substantial theoretical position on this issue. This volume therefore looks at different language processing domains, such as speaking, listening, reading, as well as discourse and text processing, to evaluate the role attention plays in such performances; and also at how often linguistic inputs affect attentional processing. In this sense, it proposes that the attention--language interface is bidirectional. It also considers applied issues like language disorders, bilingualism and illiteracy, where the attention--language interface seems especially relevant as a theoretical apparatus for research investigations. Therefore, this volume brings closer theoretical explanations from the language sciences and cognitive sciences. It argues that language processing is multi-modal in its very essence and many conceptual structures in language evolve out of a complex interplay among participating cognitive systems such as attention and memory, supported by vision and audition.
Vision and Attention
Author: Michael Jenkin
Publisher: Springer Science & Business Media
ISBN: 0387215913
Category : Medical
Languages : en
Pages : 348
Book Description
This is at once a review and a summary of the tremendous advances that have been made in recent years on the effect of attention on visual perception. This broad-ranging volume will appeal to vision scientists as well as to those involved in using visual processes in computer animations, display design or the sensory systems of machines. Physiologists and neuroscientists interested in any aspect of sensory or motor processes will also find it very useful.
Publisher: Springer Science & Business Media
ISBN: 0387215913
Category : Medical
Languages : en
Pages : 348
Book Description
This is at once a review and a summary of the tremendous advances that have been made in recent years on the effect of attention on visual perception. This broad-ranging volume will appeal to vision scientists as well as to those involved in using visual processes in computer animations, display design or the sensory systems of machines. Physiologists and neuroscientists interested in any aspect of sensory or motor processes will also find it very useful.
Active Vision
Author: John M Findlay
Publisher: Oxford University Press
ISBN: 019852479X
Category : Language Arts & Disciplines
Languages : en
Pages : 235
Book Description
This title focuses on vision as an active process, rather than a passive activity and provides an integrated account of seeing and looking. The authors give a thorough description of basic details of the visual and oculomotor systems necessary to understand active vision.
Publisher: Oxford University Press
ISBN: 019852479X
Category : Language Arts & Disciplines
Languages : en
Pages : 235
Book Description
This title focuses on vision as an active process, rather than a passive activity and provides an integrated account of seeing and looking. The authors give a thorough description of basic details of the visual and oculomotor systems necessary to understand active vision.
Transformers for Natural Language Processing and Computer Vision
Author: Denis Rothman
Publisher: Packt Publishing Ltd
ISBN: 1805123742
Category : Computers
Languages : en
Pages : 731
Book Description
The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.
Publisher: Packt Publishing Ltd
ISBN: 1805123742
Category : Computers
Languages : en
Pages : 731
Book Description
The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.
Wholeness and the Implicate Order
Author: David Bohm
Publisher: Routledge
ISBN: 1134438729
Category : Philosophy
Languages : en
Pages : 308
Book Description
David Bohm was one of the foremost scientific thinkers and philosophers of our time. Although deeply influenced by Einstein, he was also, more unusually for a scientist, inspired by mysticism. Indeed, in the 1970s and 1980s he made contact with both J. Krishnamurti and the Dalai Lama whose teachings helped shape his work. In both science and philosophy, Bohm's main concern was with understanding the nature of reality in general and of consciousness in particular. In this classic work he develops a theory of quantum physics which treats the totality of existence as an unbroken whole. Writing clearly and without technical jargon, he makes complex ideas accessible to anyone interested in the nature of reality.
Publisher: Routledge
ISBN: 1134438729
Category : Philosophy
Languages : en
Pages : 308
Book Description
David Bohm was one of the foremost scientific thinkers and philosophers of our time. Although deeply influenced by Einstein, he was also, more unusually for a scientist, inspired by mysticism. Indeed, in the 1970s and 1980s he made contact with both J. Krishnamurti and the Dalai Lama whose teachings helped shape his work. In both science and philosophy, Bohm's main concern was with understanding the nature of reality in general and of consciousness in particular. In this classic work he develops a theory of quantum physics which treats the totality of existence as an unbroken whole. Writing clearly and without technical jargon, he makes complex ideas accessible to anyone interested in the nature of reality.
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision
Author: L. Ashok Kumar
Publisher: CRC Press
ISBN: 1000875601
Category : Business & Economics
Languages : en
Pages : 251
Book Description
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.
Publisher: CRC Press
ISBN: 1000875601
Category : Business & Economics
Languages : en
Pages : 251
Book Description
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.
Perspectives on Individual Characteristics and Foreign Language Education
Author: Wai Meng Chan
Publisher: Walter de Gruyter
ISBN: 1614510938
Category : Language Arts & Disciplines
Languages : en
Pages : 352
Book Description
Learner characteristics have been at the center of second language acquisition and foreign language education research in response to the puzzling questions: Why are there often large differences in second language (L2) learning achievement and why do many learners, though proficient first language speakers, not succeed in learning a L2? The papers in this book explore and challenge the three key factors in individual difference research: language aptitude, language learning strategies and motivation.
Publisher: Walter de Gruyter
ISBN: 1614510938
Category : Language Arts & Disciplines
Languages : en
Pages : 352
Book Description
Learner characteristics have been at the center of second language acquisition and foreign language education research in response to the puzzling questions: Why are there often large differences in second language (L2) learning achievement and why do many learners, though proficient first language speakers, not succeed in learning a L2? The papers in this book explore and challenge the three key factors in individual difference research: language aptitude, language learning strategies and motivation.
Bilingualism and Cognitive Control
Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 331992513X
Category : Psychology
Languages : en
Pages : 193
Book Description
This thought-provoking monograph makes a multidisciplinary case for bilingualism as a possible enhancer of executive function, particularly cognitive control. Its central focus is the cognitive operations of the bilingual brain in processing two languages and whether they afford the brain a greater edge on neuroplasticity—in short, a cognitive advantage. Major issues and controversies in the debate are analyzed from cognitive neuroscience, psycholinguistic, and integrative perspectives, with attention paid to commonly and rarely studied domains at work in bilingual processing. The author also pinpoints future areas for improved research such as recognizing the diversity of bilingualism, not simply in languages spoken but also in social context, as seen among immigrants and refugees. Included in the coverage: The evolution of bilingualism. What goes on in a bilingual mind? The core cognitive mechanisms. Cognitive advantage of bilingualism and its criticisms. Neuroscience of bilingualism. Bilingualism, context, and control. Attention, vision, and control in bilinguals. With its cogent takes on ongoing questions and emerging issues, Bilingualism and Cognitive Control is of immediate interest to bilingual researchers and practitioners interested in understanding the behavioral aspects and neurobiology of bilingualism and the dynamic character of the bilingual/multilingual/second language learner’s mind, as well as the growing number of advanced undergraduate and graduate students interested in the psychology/psycholinguistics of bilingualism, bilingual cognitive psychology, cognitive science, and cognitive neuroscience.
Publisher: Springer
ISBN: 331992513X
Category : Psychology
Languages : en
Pages : 193
Book Description
This thought-provoking monograph makes a multidisciplinary case for bilingualism as a possible enhancer of executive function, particularly cognitive control. Its central focus is the cognitive operations of the bilingual brain in processing two languages and whether they afford the brain a greater edge on neuroplasticity—in short, a cognitive advantage. Major issues and controversies in the debate are analyzed from cognitive neuroscience, psycholinguistic, and integrative perspectives, with attention paid to commonly and rarely studied domains at work in bilingual processing. The author also pinpoints future areas for improved research such as recognizing the diversity of bilingualism, not simply in languages spoken but also in social context, as seen among immigrants and refugees. Included in the coverage: The evolution of bilingualism. What goes on in a bilingual mind? The core cognitive mechanisms. Cognitive advantage of bilingualism and its criticisms. Neuroscience of bilingualism. Bilingualism, context, and control. Attention, vision, and control in bilinguals. With its cogent takes on ongoing questions and emerging issues, Bilingualism and Cognitive Control is of immediate interest to bilingual researchers and practitioners interested in understanding the behavioral aspects and neurobiology of bilingualism and the dynamic character of the bilingual/multilingual/second language learner’s mind, as well as the growing number of advanced undergraduate and graduate students interested in the psychology/psycholinguistics of bilingualism, bilingual cognitive psychology, cognitive science, and cognitive neuroscience.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
Author: Hayit Greenspan
Publisher: Springer Nature
ISBN: 3031439961
Category : Computers
Languages : en
Pages : 783
Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Publisher: Springer Nature
ISBN: 3031439961
Category : Computers
Languages : en
Pages : 783
Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.