Showing results for "Murray" in Engineering

Long Hard Road provides an inside look at the birth of the lithium-ion battery, from its origins in academic labs around the world to its transition to its new role as the future of automotive power. It chronicles the piece-by-piece development of the battery, from its early years when it was met by indifference from industry to its later emergence in Japan where it served in camcorders, laptops, and cell phones. The book is the first to provide a glimpse inside the Japanese corporate culture that turned the lithium-ion chemistry into a commercial product.

Information Technology Law is the ideal companion for a course of study on IT law and the ways in which it is evolving in response to rapid technological and social change. The fourth edition of this groundbreaking textbook develops its unique examination of the legal processes and their relationship to the modern "information society". Charting the development of the rapid digitization of society and its impact on established legal principles, Murray examines the challenges faced with enthusiasm and clarity.

The question is no longer if electric vehicles will happen, or even when they'll happen, but how. Veteran automotive reporter Mike Colias takes you inside the transformation in this thoroughly reported profile of the hard pivot in the car business, a $2 trillion industry undergoing the biggest change in its 120-year history—a change that is already sending ripples across the entire global economy.

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat. Sometime in the future, the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of utopia, with machines doing a far better job at complex tasks than us?

On Monday, August 30, 1920, the S-Five, the newest member of the U.S. Navy's fleet of submarines, departs Boston on her first cruise. Two days later, as part of a routine test of the submarine's ability to crash dive, her crew's failure to close a faulty valve sends 75 tons of seawater blasting in. Before the valve can be jury-rigged shut, the S-Five sits precariously on the ocean floor under 180 feet of water. They have little air, no water, and only the dimmest of light by which to plan their escape.

Physical infrastructure in the United States is crumbling. The American Society of Civil Engineers has, in its latest report, given American roads and bridges a grade of D and C+, respectively, and has described roughly 65,000 bridges in the United States as 'structurally deficient'. This crisis - and one need look no further than the I-35W bridge collapse in Minnesota to see that it is indeed a crisis - shows little sign of abating short of a massive change in attitude amongst politicians and the American public.