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Artificial Intelligence Applications and Reconfigurable Architectures
Artificial intelligence (AI) algorithms are gaining importance as the backbone of different fields like computer vision, robotics, finance, biotechnology, etc., which will radically change human life. However, the computational complexity involved in AI algorithms continues to impose a challenge to state-of-the-art computing systems, particularly when the application demands low power, high throughput and low latency. At the same time, the use of field programmable gate arrays (FPGAs) for compute-intensive applications is increasingly prevalent due to the parallelism provided by thousands of configurable logic blocks (CLBs), on-chip processor core, and other resources accessible for...
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Advance Concepts of Image Processing and Pattern Recognition
Effective Solution for Global Challenges Image processing is one of the challenging fields of engineering.Various applications of...
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(Mis)Understanding Freud with Lacan, Zizek, and Neuroscience
The main argument of this book is that psychoanalytic theory and practice is structured by five threshold...
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Embodied, Extended, Ignorant Minds
New Studies on the Nature of Not-Knowing The externalist currents in cognitive science have overturned different assumptions...
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Mindfulness in a Digital World
The idea for this book started life before the pandemic as a short, mixed-methods study looking at...
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Philosophy of Social Cognition
This book started out as more or less the project of translating my German introduction into this...
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The Digital Mind
Semiotic Explorations in Digital Culture This book took shape during the most unusual time inwhich I have...
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Cognitive Sciences and Education in Non-WEIRD Populations
This book aims to present theoretical and practical innovations in the cognitive sciences and education fields focusing...
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Brain-Computer Interface
Using Deep Learning Applications The brain-computer interface (BCI) is an emerging technology that is developing to be...