Engineering Technology

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Creative Selection recounts the life of one of the few who worked behind the scenes, a highly respected software engineer who worked in the final years of the Steve Jobs era - the Golden Age of Apple. Ken Kocienda offers an inside look at Apple’s creative process. For 15 years, he was on the ground floor of the company as a specialist, directly responsible for experimenting with novel user interface concepts and writing powerful, easy-to-use software for products including the iPhone, the iPad, and the Safari web browser.

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

A born naturalist and a fearless traveler, Vladimir Dinets wrote travel guides, conducted field research, and lived a couple of lives before he was accepted into the PhD program in zoology at the University of Miami. He thought crocodiles were a dead-end research topic - survivors from the age of the dinosaurs but not much else - until he witnessed groups of up to seventy alligators performing mating choruses that included infrasound vibrations - a form of communication extremely rare in nature.

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

As the 50th anniversary of the first lunar landing approaches, the award-winning historian and perennial New York Times best-selling author takes a fresh look at the space program, President John F. Kennedy’s inspiring challenge, and America’s race to the moon.

Alexander von Humboldt (1769-1859) was an intrepid explorer and the most famous scientist of his age. His restless life was packed with adventure and discovery, whether climbing the highest volcanoes in the world or racing through anthrax-infested Siberia. He came up with a radical vision of nature, that it was a complex and interconnected global force and did not exist for man's use alone. Ironically, his ideas have become so accepted and widespread that he has been nearly forgotten.

When it comes to climate change, the media, politicians, and other prominent voices have declared that "the science is settled." In reality, the long game of telephone from research to reports to the popular media is corrupted by misunderstanding and misinformation. Core questions - about the way the climate is responding to our influence, and what the impacts will be - remain largely unanswered. The climate is changing, but the why and how aren't as clear as you've probably been led to believe.

I hate every wave of the ocean', the seasick Charles Darwin wrote to his family during his five-year voyage on the H.M.S. Beagle. It was this world-wide journey, however, that launched the scientists career.

Few books on software project management have been as influential and timeless as The Mythical Man-Month. With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system.

Le 18 février 2021, l'astromobile Perseverance atterrit sur Mars après avoir parcouru 471 millions de kilomètres. Au même moment débarque sur nos écrans une jeune femme à la chevelure écarlate et à la joie de vivre contagieuse. Au fur et à mesure que s'accumulent les prouesses scientifiques de la mission Mars 2020, le monde entier apprend à connaître cette scientifique pas comme les autres.

One of the greatest physicists of the twentieth century, Richard Feynman possessed an unquenchable thirst for adventure and an unparalleled ability to tell the stories of his life. "What Do You Care What Other People Think?" is Feynman's last literary legacy, prepared with his friend and fellow drummer, Ralph Leighton.

Dr. Judy Mikovits is a modern-day Rosalind Franklin, a brilliant researcher shaking up the old boys' club of science with her groundbreaking discoveries. And like many women who have trespassed into the world of men, she uncovered decades-old secrets that many would prefer to stay buried.

In 40 years, Earth's population will reach 10 billion. Can our world support that? What kind of world will it be? Those answering these questions generally fall into two deeply divided groups - Wizards and Prophets, as Charles Mann calls them in this balanced, authoritative, nonpolemical new book. The Prophets, he explains, follow William Vogt, a founding environmentalist who believed that in using more than our planet has to give, our prosperity will lead us to ruin.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

The world is never finished catching up with Vaclav Smil. In his latest and perhaps most digestible book, Invention and Innovation, the prolific author—a favorite of Bill Gates—pens an insightful and fact-filled jaunt through the history of human invention. Impatient with the hype that so often accompanies innovation, Smil offers in this book a clear-eyed corrective to the overpromises that accompany everything from new cures for diseases to AI.

Regarded as one of the brightest young scientists of his generation, Lewis Dartnell proposes that the key to preserving civilization in an apocalyptic scenario is to provide a quickstart guide, adapted to cataclysmic circumstances. The Knowledge describes many of the modern technologies we employ, but first it explains the fundamentals upon which they are built. The Knowledge is a brilliantly original guide to the fundamentals of science and how it built our modern world as well as a thought experiment about the very idea of scientific knowledge itself.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your software development team's agility, this comprehensive guidebook's clear, concrete, and detailed guidance explains what to do and why, and when to make trade-offs.

There is a vast class of things that science has so far almost entirely neglected. They are central to the understanding of physical reality both at an everyday level and at the level of the most fundamental phenomena in physics, yet have traditionally been assumed to be impossible to incorporate into fundamental scientific explanations. They are facts not about what is (the actual) but about what could be (counterfactuals).