Artificial Intelligence & Machine Learning (19 risultati)

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Paperback. Condizione: New.

Paperback. Condizione: New.

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Paperback. Condizione: new. Paperback. This in-depth exploration delves into the core concepts, architectures, applications, and future trajectory of "Multimodal AI: The Future of Intelligent Systems." Structured into four comprehensive parts, this book serves as a vital guide for researchers, practitioners, and anyone seeking to understand the transformative power of AI systems that can perceive and process information from multiple modalities. By seamlessly integrating insights from text, image, audio, sensor data, and more, multimodal AI promises to unlock a new era of intelligent systems capable of richer understanding, more nuanced interaction, and ultimately, more impactful real-world applications.PART I: Fundamentals of Multimodal AI lays the groundwork by introducing the fundamental principles and challenges associated with building intelligent systems that transcend the limitations of single-modality processing.Chapter 1: Introduction to Multimodal AI sets the stage by defining the core concept of multimodal AI. It elucidates how these systems aim to mirror human cognition by integrating and interpreting information from diverse sources. The chapter meticulously dissects the understanding of multimodal systems, highlighting the inherent complexity and the potential for synergistic information gain when different modalities are combined. For instance, understanding a news report becomes significantly richer when textual information is coupled with relevant images or videos. Similarly, a spoken command gains clarity when accompanied by visual cues or gestures.The chapter further addresses the key challenges and opportunities within this burgeoning field. Challenges include the heterogeneity of data formats, the difficulty in aligning and fusing information from disparate sources, the computational demands of processing high-dimensional multimodal data, and the semantic gap between low-level sensory inputs and high-level conceptual understanding. However, these challenges are counterbalanced by immense opportunities. Multimodal AI promises enhanced robustness, improved accuracy, and the ability to tackle tasks that are inherently multimodal in nature, such as understanding human emotions through facial expressions and tone of voice, or navigating complex environments using visual and sensor data.Finally, Chapter 1 showcases compelling real-world applications and use cases that underscore the transformative potential of multimodal AI. Examples span various domains, including: Human-Computer Interaction: More natural and intuitive interfaces that understand speech, gestures, and gaze.Robotics: Robots capable of navigating complex environments, manipulating objects based on visual and tactile feedback, and interacting seamlessly with humans.Healthcare: Enhanced medical diagnosis through the integration of imaging data, patient history, and genomic information.Autonomous Driving: Safer and more reliable self-driving cars that fuse data from cameras, lidar, radar, and other sensors.Content Understanding: More accurate and context-aware analysis of multimedia content, including image and video captioning, and cross-modal retrieval.Chapter 2: Modalities and Data Types delves deeper into the specific types of data that multimodal AI systems work with. It provides a comprehensive overview of text, image, and audio processing, outlining the fundamental techniques used to extract meaningful features from each modality. For text, this involves natural language processing (NLP) techniques such as tokenization, part-of-speech tagging, sentiment analysis, and semantic embedding. For images, computer vision techniques like convolutional neural networks (CNNs) are crucial for feature extracti Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Agentic AI: The Rise of Autonomous, Goal-Driven IntelligenceArtificial Intelligence (AI) has evolved rapidly over the past few decades, moving from simple rule-based systems to complex, deep learning architectures that can process and generate human-like outputs. However, a significant leap in this journey is the emergence of Agentic AI - a class of AI systems designed to operate with a level of autonomy, intelligence, and goal-directed behavior that sets them apart from conventional AI systems.What is Agentic AI?Agentic AI refers to autonomous, goal-driven AI systems capable of making independent decisions, adapting to their environment, and collaborating with other agents to achieve complex objectives. Unlike narrow AI, which excels at specific tasks, and even general AI, which aims to mimic broader human intelligence, Agentic AI focuses on creating entities that can perceive, reason, and act in a manner similar to intelligent agents in the natural world.Agentic AI systems are characterized by their ability to: Perceive and interpret their surroundings through advanced sensory inputs.Reason about their goals, constraints, and available actions.Learn from past experiences and adapt to new situations.Interact and cooperate with other agents in complex environments.Make decisions under uncertainty and dynamically adjust their strategies.Why Study Agentic AI?Studying Agentic AI provides numerous benefits for students, researchers, and industry professionals. Understanding the principles and applications of Agentic AI can: Prepare for the Future of Autonomous Systems: As industries increasingly rely on autonomous technologies, professionals with a deep understanding of Agentic AI will be in high demand.Improve Decision-Making and Problem-Solving Skills: Developing and working with intelligent agents enhances critical thinking and strategic planning abilities, essential for fields like robotics, finance, healthcare, and defense.Gain Insights into Complex Systems: Agentic AI provides a framework for understanding how complex systems work, from multi-agent robotics to financial markets and autonomous transport networks.Contribute to Cutting-Edge Research: Agentic AI is a frontier field with numerous unsolved challenges, offering exciting opportunities for academic research and innovation.Develop Ethical and Responsible AI Systems: Understanding the ethical implications of autonomous agents helps ensure that future AI technologies are designed with safety, fairness, and accountability in mind.Structure of the BookThis book is organized into six comprehensive parts, covering foundational concepts, core components, practical applications, and future challenges in Agentic AI: Part I: Foundations of Agentic AIExplores the historical evolution of AI, the fundamental principles of agentic systems, and the distinctions between narrow, general, and agentic AI.Part II: Core Components of Agentic AIFocuses on the critical building blocks of agentic systems, including perception, reasoning, learning, and goal-driven behavior.Part III: Building and Training Agentic SystemsProvides practical insights into designing, training, and optimizing autonomous agents for real-world applications.Part IV: Real-World Applications of Agentic AICovers the diverse uses of agentic systems in robotics, finance, healthcare, and other industries where autonomous decision-making is transforming traditional workflows.Part V: Ethical and Societal ImplicationsDiscusses the ethical challenges and responsibilities associated with developing and deplo Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New. Print on Demand.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Why This Book?Artificial Intelligence (AI) is no longer a distant dream confined to science fiction novels or futuristic laboratories. It is here - woven into the fabric of our daily lives, often so seamlessly that we barely notice its presence. From smartphones that recognize our faces, to virtual assistants that schedule our meetings, to recommendation engines that suggest what music we should listen to, what movies to watch, and even what careers to pursue - AI has silently become a trusted advisor, a constant companion, and a powerful influencer.Yet despite its growing influence, the conversation surrounding AI often feels inaccessible to many.The dominant narratives are filled with technical jargon, complex equations, and programming details that alienate the everyday thinker - the artist, the teacher, the entrepreneur, the policymaker, the curious citizen.The result? A technology that is deeply shaping society is often misunderstood, feared, or accepted blindly without reflection.This book was born out of the urgent need to change that.Thinking Beyond Code is not a manual on how to build AI systems, nor is it a textbook buried in algorithms and codes.Instead, it is an invitation: An invitation to explore AI from a human-centered lens - asking not just what AI can do, but how it affects us as individuals and societies.An invitation to examine the ethical dilemmas, the philosophical questions, and the creative opportunities that AI presents.An invitation to understand the intelligence behind machines without getting lost in technical complexity - prioritizing understanding over coding, insight over implementation, and reflection over blind acceptance.This book is for thinkers, not just technologists.It is for those who wish to question, imagine, challenge, and co-create a future where AI serves humanity's deepest values rather than merely advancing technological prowess.At its heart, Thinking Beyond Code seeks to bridge the widening gap between the rapid advancements of AI and our human responsibility to guide it wisely.It explores the profound impact of AI not just on jobs and economies, but on our creativity, our emotional lives, our moral frameworks, and ultimately, on our evolving understanding of what it means to be human in an increasingly automated world.This book is a call to action: To think critically, not passively consume.To engage creatively, not merely adapt.To act responsibly, not surrender the future to technology alone.As we stand at the crossroads of human and machine intelligence, the future is not written yet.It will be shaped not just by engineers and corporations, but by all of us - thinking humans who dare to imagine a world where AI amplifies, rather than diminishes, the best of what we are.Welcome to the journey of Thinking Beyond Code.Let's explore, question, and shape the future - together. Who Should Read This Book?Artificial Intelligence is no longer a niche topic reserved for engineers, data scientists, or tech enthusiasts. It is a transformative force touching every sector, every profession, and every aspect of our lives.Thinking Beyond Code is written for anyone who senses the seismic shift happening and wants to understand it from a human, ethical, and creative perspective - without needing to write a single line of code.This book is crafted for a wide, diverse audience, including: This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. This book is a comprehensive and practical guide designed specifically for Artificial Intelligence (AI) and Machine Learning (ML) professionals preparing for system design interviews. Whether you're targeting companies like Google, Amazon, Microsoft, Meta, or rapidly growing startups, this book reveals what interviewers truly look for-and how to deliver a compelling, structured response.Combining industry-insider insights, a 20-step problem-solving framework, visual walkthroughs, and 15 deep-dive chapters, this book empowers you with both theory and practical system architecture thinking across real-world AI/ML use cases. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.