Justine Cassell et Cédric Villani : IA, notre futur assistant ou nouveau maître ?

The novel is set in a near-future world where nanotechnology has revolutionized society. It follows Nell, a young girl from a poor background, who receives an interactive educational book called the 'Young Lady's Illustrated Primer'. This book, designed by John Percival Hackworth, is intended to provide a personalized education and becomes a central element in Nell's life. The story explores themes of education, social class, ethnicity, and the impact of technology on human society. The novel is known for its complex narrative, intersecting storylines, and its depiction of a world deeply divided along political, ethnic, and cultural lines.

Andrew Ng's "Machine Learning Yearning" is a concise guide focused on practical strategies for building successful machine learning systems. The book emphasizes a structured approach to problem-solving, guiding readers through crucial steps like data collection, model selection, and evaluation. Ng stresses the importance of iterative development and experimentation, encouraging readers to learn from their mistakes and refine their models over time. The book's clear explanations and practical advice make it accessible to both beginners and experienced practitioners. It serves as a valuable resource for anyone seeking to improve their machine learning skills and build effective solutions.

In this book, Cathy O'Neil explores the societal impact of big data algorithms, which she terms 'Weapons of Math Destruction' (WMDs). These algorithms are used in various fields such as insurance, advertising, education, and policing, and they often reinforce discrimination, amplify inequality, and harm the poor. O'Neil argues that these models are opaque, unregulated, and difficult to contest, leading to a 'toxic cocktail for democracy'. She calls for greater responsibility from modelers and policymakers to regulate these algorithms and for the public to become more aware of their impact. The book provides numerous examples of how these models can go wrong and emphasizes the need for ethical considerations in the use of big data models.

This book provides a detailed biography of Leo Szilárd, highlighting his contributions to nuclear physics and his role in the Manhattan Project. It explores Szilárd's life, from his early days to his involvement in the development of the atomic bomb, and his interactions with other notable figures like Albert Einstein.

Ce livre, illustré par Edmond Baudoin et écrit par Cédric Villani, raconte les parcours de quatre figures scientifiques majeures du XXe siècle : Werner Heisenberg, Alan Turing, Leó Szilárd et Hugh Dowding. Il aborde les implications sociales et éthiques de leurs travaux, notamment pendant la Seconde Guerre mondiale. Les auteurs utilisent un cadre narratif original pour explorer les dilemmes moraux et les contributions scientifiques de ces personnages.