In this collection of lectures that Richard Feynman originally gave in 1963, unpublished during his lifetime, the Nobel Prize-winning physicist discusses several of the ultimate questions of science. What is the nature of the tension between science and religious faith? Why does uncertainty play such a crucial role in the scientific imagination? Is this really a scientific age?

With his characteristic eyebrow-raising behavior, Richard P. Feynman once provoked the wife of a Princeton dean to remark, "Surely you're joking, Mr. Feynman!" But the many scientific and personal achievements of this Nobel Prize-winning physicist are no laughing matter. Here, woven with his scintillating views on modern science, Feynman relates the defining moments of his accomplished life.

The aim of this book is to explain, carefully but not technically, the differences between advanced, research-level mathematics and the sort of mathematics we learn at school. The most fundamental differences are philosophical, and listeners of this book will emerge with a clearer understanding of paradoxical-sounding concepts such as infinity, curved space, and imaginary numbers. The first few chapters are about general aspects of mathematical thought.

In these Messenger Lectures, originally delivered at Cornell University and recorded for television by the BBC, Richard Feynman offers an overview of selected physical laws and gathers their common features into one broad principle of invariance. He maintains at the outset that the importance of a physical law is not "how clever we are to have foundit out but…how clever nature is to pay attention to it" and steers his discussions toward a final exposition of the elegance and simplicity of all scientific laws.

The Pleasure of Finding Things Out is a magnificent treasury of the best short works of Richard P. Feynman, from interviews and speeches to lectures and printed articles. A sweeping, wide-ranging collection, it presents an intimate and fascinating view of a life in science - a life like no other. From his ruminations on science in our culture to his Nobel Prize acceptance speech, this book will delight anyone interested in the world of ideas.

第三次人工知能(AI)ブームの中核的役割を果たす深層学習(ディープ・ラーニング)は、その高い信頼性と汎用性ゆえに様々な領域に応用されていく一方で、

数学者として将来活躍する少年少女を見抜くことはできるか．答えが一つの数学の試験採点は容易か．どのようなコースをたどって数学者になるのか．数学者のピークはいつごろで，どのくらいの年齢までアクティブに研究できるのか．

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

明治から昭和初期にかけて活躍した物理学者、随筆家、俳人である寺田寅彦の随筆作品。

初出は「東京帝国大学新聞」［1929（昭和4）年4月］。「日本の名随筆89　数」［作品社、1990（平成2）年］に収録。

それぞれに苦手意識をもつ学生諸君に、数学にも語学にも案外共通項があるということに気づかせ、好きなものに対する方法を利用して嫌いなものを征服する道程を暗示したいと考え、書き綴った作品。