The next phase of the internet—multimodal, vision-enabled AI that will transform society Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what's happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know. Spatial Computing: An AI-Driven Business Revolution includes coverage of: The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and softwareThe impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

The next phase of the internet—multimodal, vision-enabled AI that will transform society

Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what''s happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know.

Spatial Computing: An AI-Driven Business Revolution includes coverage of:

The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and software

The impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

The next phase of the internet—multimodal, vision-enabled AI that will transform society

Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what''s happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know.

Spatial Computing: An AI-Driven Business Revolution includes coverage of:

The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and software

The impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potential

Key Features

Gain in-depth insight into LLMs, from architecture through to deploymentLearn through practical insights into real-world case studies and optimization techniquesGet a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challengesPurchase of the print or Kindle book includes a free PDF eBook

Book Description

Ever wondered how large language models (LLMs) work and how they''re shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications.You’ll learn about the structure of LLMs, how they''re developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP.By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.

What you will learn

Explore the architecture and components of contemporary LLMsExamine how LLMs reach decisions and navigate their decision-making processImplement and oversee LLMs effectively within your organizationMaster dataset preparation and the training process for LLMsHone your skills in fine-tuning LLMs for targeted NLP tasksFormulate strategies for the thorough testing and evaluation of LLMsDiscover the challenges associated with deploying LLMs in production environmentsDevelop effective strategies for integrating LLMs into existing systems

Who this book is for

If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potentialKey FeaturesGain in-depth insight into LLMs, from architecture through to deploymentLearn through practical insights into real-world case studies and optimization techniquesGet a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEver wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications.You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP.By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.What you will learnExplore the architecture and components of contemporary LLMsExamine how LLMs reach decisions and navigate their decision-making processImplement and oversee LLMs effectively within your organizationMaster dataset preparation and the training process for LLMsHone your skills in fine-tuning LLMs for targeted NLP tasksFormulate strategies for the thorough testing and evaluation of LLMsDiscover the challenges associated with deploying LLMs in production environmentsDevelop effective strategies for integrating LLMs into existing systemsWho this book is forIf you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

An insightful look into how spatial computing is transforming seven major industries today—from healthcare to retail and finance—and what it means for businesses and consumersThis second edition explores the impact of generative AI, Apple Vision Pro, and Meta Quest, while offering a critical perspective on challenges like data privacy, automation, and ethical concerns

Key Features

Explore spatial computing''s shift from theory to real-world use by Apple, Meta, and TeslaExamine spatial computing disruptions across seven industries with expert insights on real-world applicationsAnalyze generative AI and Apple Vision Pro''s impact on retail, healthcare, and financePurchase of the print or Kindle book includes a free PDF eBook

Book Description

What is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The Infinite Retina, Irena Cronin and Robert Scoble explore how spatial computing—where humans and machines interact in a digital–physical space—has progressed beyond theory into real-world applications.This second edition has many substantial updates, including two new chapters on the relevance of Generative AI in Spatial Computing and a new chapter on the impact of Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary. The book offers a fresh look at seven major industries, including healthcare and retail, featuring updated case studies, expert commentary, and real-world examples. Additionally, it addresses crucial risks and challenges, such as data privacy, automation''s impact on employment, and ethical concerns. This edition moves beyond speculation to critically analyze what Spatial Computing means for businesses and individuals today.

What you will learn

Explore how spatial computing is applied today, with examples from Apple, Meta, Tesla, and other major playersAnalyze the economic and ethical challenges of spatial computing, including automation and privacyUnderstand generative AI''s influence on spatial computing, from creativity to automationInvestigate industry-specific case studies, from autonomous vehicles to retail and financeGain expert insights into industry trends, including potential career paths in the spatial computing revolutionDiscover how virtual reality and augmented reality will change healthcare

Who this book is for

The Infinite Retina is for anyone interested in the future of technology and how augmented reality and spatial computing (among other developments) will affect both businesses and the individual.

An insightful look into how spatial computing is transforming seven major industries today—from healthcare to retail and finance—and what it means for businesses and consumersThis second edition explores the impact of generative AI, Apple Vision Pro, and Meta Quest, while offering a critical perspective on challenges like data privacy, automation, and ethical concernsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesExplore spatial computing's shift from theory to real-world use by Apple, Meta, and TeslaExamine spatial computing disruptions across seven industries with expert insights on real-world applicationsAnalyze generative AI and Apple Vision Pro's impact on retail, healthcare, and financePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhat is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The Infinite Retina, Irena Cronin and Robert Scoble explore how spatial computing—where humans and machines interact in a digital–physical space—has progressed beyond theory into real-world applications.This second edition has many substantial updates, including two new chapters on the relevance of Generative AI in Spatial Computing and a new chapter on the impact of Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary. The book offers a fresh look at seven major industries, including healthcare and retail, featuring updated case studies, expert commentary, and real-world examples. Additionally, it addresses crucial risks and challenges, such as data privacy, automation's impact on employment, and ethical concerns. This edition moves beyond speculation to critically analyze what Spatial Computing means for businesses and individuals today.*Email sign-up and proof of purchase requiredWhat you will learnExplore how spatial computing is applied today, with examples from Apple, Meta, Tesla, and other major playersAnalyze the economic and ethical challenges of spatial computing, including automation and privacyUnderstand generative AI's influence on spatial computing, from creativity to automationInvestigate industry-specific case studies, from autonomous vehicles to retail and financeGain expert insights into industry trends, including potential career paths in the spatial computing revolutionDiscover how virtual reality and augmented reality will change healthcareWho this book is forThe Infinite Retina is for anyone interested in the future of technology and how augmented reality and spatial computing (among other developments) will affect both businesses and the individual.

Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and future

Key Features

Understand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF eBook

Book Description

“The metaverse” has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You''ll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You’ll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you''ll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.

What you will learn

Get to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverse

Who this book is for

If you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.

Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and futureKey FeaturesUnderstand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF eBookBook Description“The metaverse” has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You'll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You’ll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you'll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.What you will learnGet to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverseWho this book is forIf you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.

A compelling and insightful look at the future of Spatial Computing, and how this cutting-edge technology is changing the way we do business across seven primary industries, and what it means for humanity as a whole.

Key Features

Discover how Spatial Computing is changing the face of technologyGet a roadmap for the disruptions caused by Spatial Computing and how it will affect seven major industriesGain insights about the past, present, and future of technology from the world’s leading experts and innovators

Book Description

What is Spatial Computing and why is everyone from Tesla, Apple, and Facebook investing heavily in it?

In The Infinite Retina, authors Irena Cronin and Robert Scoble attempt to answer that question by helping you understand where Spatial Computing―an augmented reality where humans and machines can interact in a physical space―came from, where it''s going, and why it''s so fundamentally different from the computers or mobile phones that came before.

They present seven visions of the future and the industry verticals in which Spatial Computing has the most influence―Transportation; Technology, Media, and Telecommunications; Manufacturing; Retail; Healthcare; Finance; and Education.

The book also shares insights about the past, present, and future from leading experts an other industry veterans and innovators, including Sebastian Thrun, Ken Bretschneider, and Hugo Swart. They dive into what they think will happen in Spatial Computing in the near and medium term, and also explore what it could mean for humanity in the long term.

The Infinite Retina then leaves it up to you to decide whether Spatial Computing is truly where the future of technology is heading or whether it''s just an exciting, but passing, phase.

What you will learn

Look back at historical paradigms that changed the face of technologyConsider how Spatial Computing could be the new technology that changes our livesSee how Virtual and Augmented Reality will change the way we do healthcareLearn how Spatial Computing technology will lead to fully automated transportationThink about how Spatial Computing will change the manufacturing industryExplore how finance and retail are going to be impacted through Spatial Computing devicesHear accounts from industry experts on what they expect Spatial Computing to bring to their sectors

Who this book is for

The Infinite Retina is for anyone interested in the future of technology and how Augmented Reality and Spatial Computing (among other developments) will affect both businesses and the individual.

A compelling and insightful look at the future of Spatial Computing, and how this cutting-edge technology is changing the way we do business across seven primary industries, and what it means for humanity as a whole.Key FeaturesDiscover how Spatial Computing is changing the face of technologyGet a roadmap for the disruptions caused by Spatial Computing and how it will affect seven major industriesGain insights about the past, present, and future of technology from the world’s leading experts and innovatorsBook DescriptionWhat is Spatial Computing and why is everyone from Tesla, Apple, and Facebook investing heavily in it?In The Infinite Retina, authors Irena Cronin and Robert Scoble attempt to answer that question by helping you understand where Spatial Computing?an augmented reality where humans and machines can interact in a physical space?came from, where it's going, and why it's so fundamentally different from the computers or mobile phones that came before.They present seven visions of the future and the industry verticals in which Spatial Computing has the most influence?Transportation; Technology, Media, and Telecommunications; Manufacturing; Retail; Healthcare; Finance; and Education.The book also shares insights about the past, present, and future from leading experts an other industry veterans and innovators, including Sebastian Thrun, Ken Bretschneider, and Hugo Swart. They dive into what they think will happen in Spatial Computing in the near and medium term, and also explore what it could mean for humanity in the long term.The Infinite Retina then leaves it up to you to decide whether Spatial Computing is truly where the future of technology is heading or whether it's just an exciting, but passing, phase.What you will learnLook back at historical paradigms that changed the face of technologyConsider how Spatial Computing could be the new technology that changes our livesSee how Virtual and Augmented Reality will change the way we do healthcareLearn how Spatial Computing technology will lead to fully automated transportationThink about how Spatial Computing will change the manufacturing industryExplore how finance and retail are going to be impacted through Spatial Computing devicesHear accounts from industry experts on what they expect Spatial Computing to bring to their sectorsWho this book is forThe Infinite Retina is for anyone interested in the future of technology and how Augmented Reality and Spatial Computing (among other developments) will affect both businesses and the individual.

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.What You Will LearnWhat are the technical elements that constitute the makeup of Generative AI products?What are the practical applications of Generative AI?How can algorithms be designed to automate and improve written communication?What are the latest Generative AI architectures and algorithms?Who This Book Is ForData scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.

The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.

In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.

What You Will Learn

What are the technical elements that constitute the makeup of Generative AI products?What are the practical applications of Generative AI?How can algorithms be designed to automate and improve written communication?What are the latest Generative AI architectures and algorithms?

Who This Book Is For

Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models. Designed for AI engineers, data scientists, and ML practitioners, it offers a practical roadmap from data ingestion to real-world deployment and evaluation.The book starts by guiding readers on selecting the right model architecture for their application, be it text generation, image synthesis, or multimodal tasks. It then walks through essential components of model training, including dataset handling, self-supervised learning, and core optimisation techniques such as backpropagation, gradient descent, and learning rate scheduling. It also delves into large-scale training infrastructure, covering GPU/TPU usage, distributed computing frameworks, and system-level strategies for scaling performance. Practical guidance is provided on fine-tuning models with domain-specific data and applying reinforcement learning from human feedback (RLHF), model quantisation, and pruning to improve efficiency. Key challenges in generative AI—such as overfitting, bias, hallucination, and data efficiency—are addressed through proven techniques and emerging best practices. Readers will also gain insight into model interpretability and generalisation, ensuring robust and trustworthy outputs. The book demonstrates how to build scalable, production-ready generative systems across domains like media, healthcare, scientific simulation, and design through real-world examples and applied case studies. By the end, readers will gain an understanding of how to architect, optimise, and apply generative models across diverse domains such as media creation, healthcare, design, scientific simulation, and beyond.What you will learn;Learn how to choose and implement generative models—VAEs, GANs, transformers, and diffusion models—for specific use cases.Master training optimization techniques such as backpropagation, gradient descent, adaptive learning rates, and regularization.Apply best practices for large-scale training using GPUs, TPUs, and distributed computing frameworks for performance scaling.Boost model efficiency through quantization, pruning, fine-tuning, and RLHF to enhance output quality and reduce overhead.Who this book is for:AI Engineers and Machine Learning Practitioners looking to build and deploy generative models in real-world applications.  Data Scientists working on deep learning projects involving text, vision, audio, or multimodal generation.

The next phase of the internet—multimodal, vision-enabled AI that will transform society Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what's happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know. Spatial Computing: An AI-Driven Business Revolution includes coverage of: The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and softwareThe impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

The next phase of the internet—multimodal, vision-enabled AI that will transform society

Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what''s happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know.

Spatial Computing: An AI-Driven Business Revolution includes coverage of:

The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and software

The impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

The next phase of the internet—multimodal, vision-enabled AI that will transform society

Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech & gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what''s happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know.

Spatial Computing: An AI-Driven Business Revolution includes coverage of:

The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device Insights, tools and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and software

The impact of spatial computing is just starting to be felt. Spatial Computing: An AI-Driven Business Revolution is a must-have resource for business leaders who wish to fully understand this new form of revolutionary, evolutionary technology that is expected to be even more impactful than personal computing and mobile computing.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potential

Key Features

Gain in-depth insight into LLMs, from architecture through to deploymentLearn through practical insights into real-world case studies and optimization techniquesGet a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challengesPurchase of the print or Kindle book includes a free PDF eBook

Book Description

Ever wondered how large language models (LLMs) work and how they''re shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications.You’ll learn about the structure of LLMs, how they''re developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP.By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.

What you will learn

Explore the architecture and components of contemporary LLMsExamine how LLMs reach decisions and navigate their decision-making processImplement and oversee LLMs effectively within your organizationMaster dataset preparation and the training process for LLMsHone your skills in fine-tuning LLMs for targeted NLP tasksFormulate strategies for the thorough testing and evaluation of LLMsDiscover the challenges associated with deploying LLMs in production environmentsDevelop effective strategies for integrating LLMs into existing systems

Who this book is for

If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potentialKey FeaturesGain in-depth insight into LLMs, from architecture through to deploymentLearn through practical insights into real-world case studies and optimization techniquesGet a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEver wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications.You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP.By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.What you will learnExplore the architecture and components of contemporary LLMsExamine how LLMs reach decisions and navigate their decision-making processImplement and oversee LLMs effectively within your organizationMaster dataset preparation and the training process for LLMsHone your skills in fine-tuning LLMs for targeted NLP tasksFormulate strategies for the thorough testing and evaluation of LLMsDiscover the challenges associated with deploying LLMs in production environmentsDevelop effective strategies for integrating LLMs into existing systemsWho this book is forIf you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

An insightful look into how spatial computing is transforming seven major industries today—from healthcare to retail and finance—and what it means for businesses and consumersThis second edition explores the impact of generative AI, Apple Vision Pro, and Meta Quest, while offering a critical perspective on challenges like data privacy, automation, and ethical concerns

Key Features

Explore spatial computing''s shift from theory to real-world use by Apple, Meta, and TeslaExamine spatial computing disruptions across seven industries with expert insights on real-world applicationsAnalyze generative AI and Apple Vision Pro''s impact on retail, healthcare, and financePurchase of the print or Kindle book includes a free PDF eBook

Book Description

What is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The Infinite Retina, Irena Cronin and Robert Scoble explore how spatial computing—where humans and machines interact in a digital–physical space—has progressed beyond theory into real-world applications.This second edition has many substantial updates, including two new chapters on the relevance of Generative AI in Spatial Computing and a new chapter on the impact of Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary. The book offers a fresh look at seven major industries, including healthcare and retail, featuring updated case studies, expert commentary, and real-world examples. Additionally, it addresses crucial risks and challenges, such as data privacy, automation''s impact on employment, and ethical concerns. This edition moves beyond speculation to critically analyze what Spatial Computing means for businesses and individuals today.

What you will learn

Explore how spatial computing is applied today, with examples from Apple, Meta, Tesla, and other major playersAnalyze the economic and ethical challenges of spatial computing, including automation and privacyUnderstand generative AI''s influence on spatial computing, from creativity to automationInvestigate industry-specific case studies, from autonomous vehicles to retail and financeGain expert insights into industry trends, including potential career paths in the spatial computing revolutionDiscover how virtual reality and augmented reality will change healthcare

Who this book is for

The Infinite Retina is for anyone interested in the future of technology and how augmented reality and spatial computing (among other developments) will affect both businesses and the individual.

An insightful look into how spatial computing is transforming seven major industries today—from healthcare to retail and finance—and what it means for businesses and consumersThis second edition explores the impact of generative AI, Apple Vision Pro, and Meta Quest, while offering a critical perspective on challenges like data privacy, automation, and ethical concernsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesExplore spatial computing's shift from theory to real-world use by Apple, Meta, and TeslaExamine spatial computing disruptions across seven industries with expert insights on real-world applicationsAnalyze generative AI and Apple Vision Pro's impact on retail, healthcare, and financePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhat is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The Infinite Retina, Irena Cronin and Robert Scoble explore how spatial computing—where humans and machines interact in a digital–physical space—has progressed beyond theory into real-world applications.This second edition has many substantial updates, including two new chapters on the relevance of Generative AI in Spatial Computing and a new chapter on the impact of Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary. The book offers a fresh look at seven major industries, including healthcare and retail, featuring updated case studies, expert commentary, and real-world examples. Additionally, it addresses crucial risks and challenges, such as data privacy, automation's impact on employment, and ethical concerns. This edition moves beyond speculation to critically analyze what Spatial Computing means for businesses and individuals today.*Email sign-up and proof of purchase requiredWhat you will learnExplore how spatial computing is applied today, with examples from Apple, Meta, Tesla, and other major playersAnalyze the economic and ethical challenges of spatial computing, including automation and privacyUnderstand generative AI's influence on spatial computing, from creativity to automationInvestigate industry-specific case studies, from autonomous vehicles to retail and financeGain expert insights into industry trends, including potential career paths in the spatial computing revolutionDiscover how virtual reality and augmented reality will change healthcareWho this book is forThe Infinite Retina is for anyone interested in the future of technology and how augmented reality and spatial computing (among other developments) will affect both businesses and the individual.

Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and future

Key Features

Understand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF eBook

Book Description

“The metaverse” has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You''ll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You’ll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you''ll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.

What you will learn

Get to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverse

Who this book is for

If you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.

Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and futureKey FeaturesUnderstand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF eBookBook Description“The metaverse” has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You'll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You’ll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you'll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.What you will learnGet to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverseWho this book is forIf you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.

A compelling and insightful look at the future of Spatial Computing, and how this cutting-edge technology is changing the way we do business across seven primary industries, and what it means for humanity as a whole.

Key Features

Discover how Spatial Computing is changing the face of technologyGet a roadmap for the disruptions caused by Spatial Computing and how it will affect seven major industriesGain insights about the past, present, and future of technology from the world’s leading experts and innovators

Book Description

What is Spatial Computing and why is everyone from Tesla, Apple, and Facebook investing heavily in it?

In The Infinite Retina, authors Irena Cronin and Robert Scoble attempt to answer that question by helping you understand where Spatial Computing―an augmented reality where humans and machines can interact in a physical space―came from, where it''s going, and why it''s so fundamentally different from the computers or mobile phones that came before.

They present seven visions of the future and the industry verticals in which Spatial Computing has the most influence―Transportation; Technology, Media, and Telecommunications; Manufacturing; Retail; Healthcare; Finance; and Education.

The book also shares insights about the past, present, and future from leading experts an other industry veterans and innovators, including Sebastian Thrun, Ken Bretschneider, and Hugo Swart. They dive into what they think will happen in Spatial Computing in the near and medium term, and also explore what it could mean for humanity in the long term.

The Infinite Retina then leaves it up to you to decide whether Spatial Computing is truly where the future of technology is heading or whether it''s just an exciting, but passing, phase.

What you will learn

Look back at historical paradigms that changed the face of technologyConsider how Spatial Computing could be the new technology that changes our livesSee how Virtual and Augmented Reality will change the way we do healthcareLearn how Spatial Computing technology will lead to fully automated transportationThink about how Spatial Computing will change the manufacturing industryExplore how finance and retail are going to be impacted through Spatial Computing devicesHear accounts from industry experts on what they expect Spatial Computing to bring to their sectors

Who this book is for

The Infinite Retina is for anyone interested in the future of technology and how Augmented Reality and Spatial Computing (among other developments) will affect both businesses and the individual.

A compelling and insightful look at the future of Spatial Computing, and how this cutting-edge technology is changing the way we do business across seven primary industries, and what it means for humanity as a whole.Key FeaturesDiscover how Spatial Computing is changing the face of technologyGet a roadmap for the disruptions caused by Spatial Computing and how it will affect seven major industriesGain insights about the past, present, and future of technology from the world’s leading experts and innovatorsBook DescriptionWhat is Spatial Computing and why is everyone from Tesla, Apple, and Facebook investing heavily in it?In The Infinite Retina, authors Irena Cronin and Robert Scoble attempt to answer that question by helping you understand where Spatial Computing?an augmented reality where humans and machines can interact in a physical space?came from, where it's going, and why it's so fundamentally different from the computers or mobile phones that came before.They present seven visions of the future and the industry verticals in which Spatial Computing has the most influence?Transportation; Technology, Media, and Telecommunications; Manufacturing; Retail; Healthcare; Finance; and Education.The book also shares insights about the past, present, and future from leading experts an other industry veterans and innovators, including Sebastian Thrun, Ken Bretschneider, and Hugo Swart. They dive into what they think will happen in Spatial Computing in the near and medium term, and also explore what it could mean for humanity in the long term.The Infinite Retina then leaves it up to you to decide whether Spatial Computing is truly where the future of technology is heading or whether it's just an exciting, but passing, phase.What you will learnLook back at historical paradigms that changed the face of technologyConsider how Spatial Computing could be the new technology that changes our livesSee how Virtual and Augmented Reality will change the way we do healthcareLearn how Spatial Computing technology will lead to fully automated transportationThink about how Spatial Computing will change the manufacturing industryExplore how finance and retail are going to be impacted through Spatial Computing devicesHear accounts from industry experts on what they expect Spatial Computing to bring to their sectorsWho this book is forThe Infinite Retina is for anyone interested in the future of technology and how Augmented Reality and Spatial Computing (among other developments) will affect both businesses and the individual.

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.What You Will LearnWhat are the technical elements that constitute the makeup of Generative AI products?What are the practical applications of Generative AI?How can algorithms be designed to automate and improve written communication?What are the latest Generative AI architectures and algorithms?Who This Book Is ForData scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.

The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.

In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.

What You Will Learn

What are the technical elements that constitute the makeup of Generative AI products?What are the practical applications of Generative AI?How can algorithms be designed to automate and improve written communication?What are the latest Generative AI architectures and algorithms?

Who This Book Is For

Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models. Designed for AI engineers, data scientists, and ML practitioners, it offers a practical roadmap from data ingestion to real-world deployment and evaluation.The book starts by guiding readers on selecting the right model architecture for their application, be it text generation, image synthesis, or multimodal tasks. It then walks through essential components of model training, including dataset handling, self-supervised learning, and core optimisation techniques such as backpropagation, gradient descent, and learning rate scheduling. It also delves into large-scale training infrastructure, covering GPU/TPU usage, distributed computing frameworks, and system-level strategies for scaling performance. Practical guidance is provided on fine-tuning models with domain-specific data and applying reinforcement learning from human feedback (RLHF), model quantisation, and pruning to improve efficiency. Key challenges in generative AI—such as overfitting, bias, hallucination, and data efficiency—are addressed through proven techniques and emerging best practices. Readers will also gain insight into model interpretability and generalisation, ensuring robust and trustworthy outputs. The book demonstrates how to build scalable, production-ready generative systems across domains like media, healthcare, scientific simulation, and design through real-world examples and applied case studies. By the end, readers will gain an understanding of how to architect, optimise, and apply generative models across diverse domains such as media creation, healthcare, design, scientific simulation, and beyond.What you will learn;Learn how to choose and implement generative models—VAEs, GANs, transformers, and diffusion models—for specific use cases.Master training optimization techniques such as backpropagation, gradient descent, adaptive learning rates, and regularization.Apply best practices for large-scale training using GPUs, TPUs, and distributed computing frameworks for performance scaling.Boost model efficiency through quantization, pruning, fine-tuning, and RLHF to enhance output quality and reduce overhead.Who this book is for:AI Engineers and Machine Learning Practitioners looking to build and deploy generative models in real-world applications.  Data Scientists working on deep learning projects involving text, vision, audio, or multimodal generation.