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Chowdhury G. G.: AI and Information
Access

AI and Information Access

Benefits, Challenges and Lessons

Discover the AI and data skills you'll need and develop your confidence to succeed in the digital age.

Gain the Confidence You Need to Succeed

Data and AI Skills

Ai, Memristors And Nonlinear Dynamics

This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.

Artificial Intelligence And Quantum Dynamics For Memristor-system Computing

Autonomous Cyber Resilience

Art in the Age of AI

How to See Like a Machine

Quantum Computing and Machine Learning for 6G

Recent advances in robotics and artificial intelligence enabled robots to not merely be programmed for a specific task, but adapt to their environment and own body autonomously. The inspiration for this open-ended development and learning comes from findings in developmental psychology on sensorimotor and social learning. Developing a sense of Self and a sense of agency is a crucial milestone towards autonomy and cognitive and social skills in both natural and artificial systems.By exploring and interacting with their surroundings, infants learn about their bodily capabilities and develop a sense of their body as an entity differentiated from the environment and that they can control. Neuroscientists identified a set of brain regions that would be involved in this subjective experience, and hypothesized on a range of processes that would produce it.This book will explain the development of the self and self-agency in humans, and discuss what could be transferred to artificial systems. The state of the art of research in developmental robotics related to the self will be illustrated with many examples.

Self And Sense Of Agency In Artificial Systems

Develop the skills to stop AI-powered cyberattacks and leverage AI to improve your existing cybersecurity strategies.

Use AI to Protect Your Organization

Artificial Intelligence in Cybersecurity

This title captures the wide application of state-of-the-art radiation imaging technologies and their integration with emerging technologies like Robotics and Artificial Intelligence to help deliver security solutions in various organisations. It also highlights how innovation can be harnessed to help ensure the safety and security of the general public, especially in the face of the COVID-19 pandemic.Composed of articles and speeches by Prof. Zhiqiang Chen, the President of the Chinese Society for Stereology, this title can help researchers in radiation imaging and government agencies, along with security professionals and industry practitioners. Readers can get a glimpse of how the presented technologies can streamline security operations and facilitate the free flow of travel and trade.Prof Chen's other appointments include the Vice-President of the China Isotope &amp; Radiation Association, and the Chief Science Communication Expert in national public security inspection and non-destructive testing of the China Association for Science and Technology.

Fusing The Application Of Radiation Imaging Technology With Ai: From Theory To Reality

PTLIP Practical Tips for Library and Information Professionals

Practical Tips for Successful Library Management

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI and Information Access

Informations bibliographiques

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