Life / Philosophy

Kenneth O. Stanley, Joel Lehman

Why does modern life revolve around objectives? From how science is funded, to improving how children are educated -- and nearly everything in-between -- our society has become obsessed with a seductive illusion: that greatness results from doggedly measuring improvement in the relentless pursuit of an ambitious goal. In Why Greatness Cannot Be Planned, Stanley and Lehman begin with a surprising scientific discovery in artificial intelligence that leads ultimately to the conclusion that the objective obsession has gone too far. They make the case that great achievement can't be bottled up into mechanical metrics; that innovation is not driven by narrowly focused heroic effort; and that we would be wiser (and the outcomes better) if instead we whole-heartedly embraced serendipitous discovery and playful creativity.

Controversial at its heart, yet refreshingly provocative, this book challenges readers to consider life without a destination and discovery without a compass.

Computer Science

Harrison Kinsley & Daniel Kukiela

"Neural Networks From Scratch" is a book intended to teach you how to build neural networks on your own, without any libraries, so you can better understand deep learning and how all of the elements work. This is so you can go out and do new/novel things with deep learning as well as to become more successful with even more basic models.

This book is to accompany the usual free tutorial videos and sample code from youtube.com/sentdex. This topic is one that warrants multiple mediums and sittings. Having something like a hard copy that you can make notes in, or access without your computer/offline is extremely helpful. All of this plus the ability for backers to highlight and post comments directly in the text should make learning the subject matter even easier.

Neuroscience

Stanislas Dehaene

From the acclaimed author of Reading in the Brain and How We Learn, a breathtaking look at the new science that can track consciousness deep in the brain

How does our brain generate a conscious thought? And why does so much of our knowledge remain unconscious? Thanks to clever psychological and brain-imaging experiments, scientists are closer to cracking this mystery than ever before.

In this lively book, Stanislas Dehaene describes the pioneering work his lab and the labs of other cognitive neuroscientists worldwide have accomplished in defining, testing, and explaining the brain events behind a conscious state. We can now pin down the neurons that fire when a person reports becoming aware of a piece of information and understand the crucial role unconscious computations play in how we make decisions. The emerging theory enables a test of consciousness in animals, babies, and those with severe brain injuries.

A joyous exploration of the mind and its thrilling complexities, Consciousness and the Brain will excite anyone interested in cutting-edge science and technology and the vast philosophical, personal, and ethical implications of finally quantifying consciousness.

Life / Philosophy

Glenn Greenwald

A groundbreaking look at the NSA surveillance scandal, from the reporter who broke the story, Glenn Greenwald, star of Citizenfour, the Academy Award-winning documentary on Edward Snowden

In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government spying and insisted on communicating only through heavily encrypted channels. That source turned out to be the 29-year-old NSA contractor and whistleblower Edward Snowden, and his revelations about the agency's widespread, systemic overreach proved to be some of the most explosive and consequential news in recent history, triggering a fierce debate over national security and information privacy. As the arguments rage on and the government considers various proposals for reform, it is clear that we have yet to see the full impact of Snowden's disclosures.

Now for the first time, Greenwald fits all the pieces together, recounting his high-intensity ten-day trip to Hong Kong, examining the broader implications of the surveillance detailed in his reporting for The Guardian, and revealing fresh information on the NSA's unprecedented abuse of power with never-before-seen documents entrusted to him by Snowden himself.

Going beyond NSA specifics, Greenwald also takes on the establishment media, excoriating their habitual avoidance of adversarial reporting on the government and their failure to serve the interests of the people. Finally, he asks what it means both for individuals and for a nation's political health when a government pries so invasively into the private lives of its citizens?and considers what safeguards and forms of oversight are necessary to protect democracy in the digital age. Coming at a landmark moment in American history, No Place to Hide is a fearless, incisive, and essential contribution to our understanding of the U.S. surveillance state.

Neuroscience

Grace Lindsay

Grace Lindsay reveals the value of describing the machinery of neuroscience using the elegant language of mathematics.

The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it.

In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology.

Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor.