We need nature for our physical and psychological well-being. Our actions reflect this when we turn to beloved pets for companionship, vacation in spots of natural splendor, or spend hours working in the garden. Yet we are also a technological species and have been since we fashioned tools out of stone. Thus one of this century’s central challenges is to embrace our kinship with a more-than-human world--“our totemic self”--and integrate that kinship with our scientific culture and technological selves.

Computer graphics technology is an amazing success story. Today, all of our PCs are capable of producing high-quality computer-generated images, mostly in the form of video games and virtual-life environments; every summer blockbuster movie includes jaw-dropping computer generated special effects. This book explains the fundamental concepts of 3D computer graphics.

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.

An estimated 100 million nonhuman vertebrates worldwide--including primates, dogs, cats, rabbits, hamsters, birds, rats, and mice--are bred, captured, or otherwise acquired every year for research purposes. Much of this research is seriously detrimental to the welfare of these animals, causing pain, distress, injury, or death. This book explores the ethical controversies that have arisen over animal research, examining closely the complex scientific, philosophical, moral, and legal issues involved.