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The Worlds I See
ONE OF BARACK OBAMA'S RECOMMENDED BOOKS ON AI * FINANCIAL TIMES BEST BOOKS OF 2023 From Dr. Fei-Fei Li, one of TIME's 100 MOST INFLUENTIAL in AI, comes "a powerful plea for keeping humanity at the centre of our latest technological transformation" (Financial Times). Wired called Dr. Fei-Fei Li “one of a tiny group of scientists—a group perhaps small enough to fit around a kitchen table—who are responsible for AI’s recent remarkable advances.” Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. As immigrants, her ...
Summary of Fei-Fei Li's The Worlds I See
Get the Summary of Fei-Fei Li's The Worlds I See in 20 minutes. Please note: This is a summary & not the original book. Fei-Fei Li's "The Worlds I See" chronicles her journey from an immigrant teenager to a leading AI researcher, testifying before Congress on AI's societal impact. Li's significant contributions to AI, including her work on ImageNet and advocacy for inclusive, human-centered AI, are highlighted. Raised in Chengdu by parents who encouraged exploration and individuality, Li's upbringing fostered her curiosity and defiance of gender norms...
Fei-Fei Li
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Fei-Fei Li
This book is a biography of Fei-Fei Li, one of the most influential and inspiring figures in the fields of artificial intelligence (AI), machine learning, and computer vision. It tells the story of her remarkable journey from China to America, from physics to computer science, from academia to industry, and from research to impact. It also provides an informative and comprehensive overview of AI, its history, current state, and future directions, as well as its opportunities, challenges, and implications for humanity. The book is organized into seven chapters, each focusing on a different aspect or stage of Fei-Fei Li's life and career. The first chapter tells the story of her immigration fr...
Nanking 1937
In recent years the international community has begun to scrutinize and, in many cases, condemn the atrocities that took place at Nanking in late 1937. This is all part of a larger worldwide movement in which both nations and multinational groups are attempting to reach closure regarding past atrocities and inhumanities. As represented by the contributors to this book, these activities have an importance reaching far beyond aggressors or victims, beyond admission or vindication, but rather are a search for the common causes of all human atrocities and for solutions that would set humanity on a path toward a more peaceful and harmonious international community.
Architects of Intelligence
Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost ...
Web Information Systems and Applications
This book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022. The 45 full papers and 19 short papers presented were carefully reviewed and selected from 212 submissions. The papers are grouped in topical sections on knowledge graph, natural language processing, world wide web, machine learning, query processing and algorithm, recommendation, data privacy and security, and blockchain.
Data Feminism
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data e...
Advances in Artificial Intelligence and Security
The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021. The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security internet; Part III: cloud computing and security; encryption and cybersecurity; information hiding; IoT security.
Artificial Intelligence and Security
The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; Internet of things; information security; Part III: information security; big data and cloud computing; information processing.
