Rupa Rani – författare
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5 produkter
5 produkter
Inbunden, Engelska, 2025
1 774 kr
Skickas inom 10-15 vardagar
The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data. It reveals hidden and unknown patterns, to improve our understanding the role of genetics in diseases, speeding up drug discovery processes, illuminating evolutionary trajectories, and dealing with the challenges posed by large genomic datasets. It also addresses ethical concerns, provides real-world applications, reviews future frontiers like as quantum computing and multi-omics integration, and presents a thorough picture of the genetic environment. Overall, the book aims to enhance our ability to use genomics for more precise forecasts, personalised therapies, and a better understanding of the underlying genetic fabric that defines life.
E-bok
PDF, Engelska, 2025942 kr
Läs direkt efter köp
The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data. It reveals hidden and unknown patterns, to improve our understanding the role of genetics in diseases, speeding up drug discovery processes, illuminating evolutionary trajectories, and dealing with the challenges posed by large genomic datasets. It also addresses ethical concerns, provides real-world applications, reviews future frontiers like as quantum computing and multi-omics integration, and presents a thorough picture of the genetic environment. Overall, the book aims to enhance our ability to use genomics for more precise forecasts, personalised therapies, and a better understanding of the underlying genetic fabric that defines life.
E-bok
Engelska, 2025942 kr
Läs direkt efter köp
The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data. It reveals hidden and unknown patterns, to improve our understanding the role of genetics in diseases, speeding up drug discovery processes, illuminating evolutionary trajectories, and dealing with the challenges posed by large genomic datasets. It also addresses ethical concerns, provides real-world applications, reviews future frontiers like as quantum computing and multi-omics integration, and presents a thorough picture of the genetic environment. Overall, the book aims to enhance our ability to use genomics for more precise forecasts, personalised therapies, and a better understanding of the underlying genetic fabric that defines life.
Inbunden, Engelska, 2027
2 402 kr
Kommande
E-bok
Engelska, 2025562 kr
Läs direkt efter köp
Digital Deception: Uncovering the Dark Side of AI in Social Networks is a critical investigation into how artificial intelligence silently influences, manipulates, and, at times, undermines digital interactions across social platforms. Bridging disciplines such as computer science, sociology, and ethics, the book exposes how AI technologies contribute to misinformation, surveillance, identity manipulation, and psychological exploitation in the digital sphere.With chapters on algorithmic bias, deep fakes, federated learning, and intrusion detection, the book reveals the hidden mechanisms that shape user behavior and societal discourse. It explores the ethical implications of AI-powered content curation, privacy violations, and the rise of automated cyberattacks-while proposing regulatory and technological countermeasures. Case studies and real-world examples illustrate the consequences of unchecked AI deployment and the erosion of trust in online spaces.Key features:Examines misinformation, digital surveillance, and algorithmic biasPresents real-world case studies and AI behavior modelsHighlights privacy concerns and ethical frameworksProposes AI-driven defenses and user empowerment strategiesReadership:Researchers, students, technologists, policymakers, and activists seeking to understand and address the hidden risks posed by AI in our digitally connected world.Digital Deception: Uncovering the Dark Side of AI in Social Networks is a critical investigation into how artificial intelligence silently influences, manipulates, and, at times, undermines digital interactions across social platforms. Bridging disciplines such as computer science, sociology, and ethics, the book exposes how AI technologies contribute to misinformation, surveillance, identity manipulation, and psychological exploitation in the digital sphere.With chapters on algorithmic bias, deep fakes, federated learning, and intrusion detection, the book reveals the hidden mechanisms that shape user behavior and societal discourse. It explores the ethical implications of AI-powered content curation, privacy violations, and the rise of automated cyberattacks-while proposing regulatory and technological countermeasures. Case studies and real-world examples illustrate the consequences of unchecked AI deployment and the erosion of trust in online spaces.Key features:Examines misinformation, digital surveillance, and algorithmic biasPresents real-world case studies and AI behavior modelsHighlights privacy concerns and ethical frameworksProposes AI-driven defenses and user empowerment strategiesReadership:Researchers, students, technologists, policymakers, and activists seeking to understand and address the hidden risks posed by AI in our digitally connected world.