You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Get the inside story of American Artificial Intelligence (AI) failure and fall: Learn how to reassume American AI leadership and win against China On the eve of the Sino-American great power competition General Mattis challenged America to move forward at the speed of relevance. To compete effectively America needed to excel in its AI capacity. The call fell on deaf ears - and years later the nation found itself sliding towards a state of irrelevance on the global stage. A series of blunders contributed to what President Biden calls American AI's "failing and falling behind." This is the story of American AI's fall from grace. Capturing the live moments of American excitement and mastery of ...
This volume includes 15 papers from the National Academy of Engineering's 2006 U.S. Frontiers of Engineering (USFOE) Symposium held in September 2006. USFOE meetings bring together 100 outstanding engineers (ages 30 to 45) to exchange information about leading-edge technologies in a range of engineering fields. The 2006 symposium covered four topic areas: intelligent software systems and machines, the nano/bio interface, engineering personal mobility for the 21st century, and supply chain management. A paper by dinner speaker Dr. W. Dale Compton, Lillian M. Gilbreth Distinguished Professor of Industrial Engineering, Emeritus, is also included. The papers describe leading-edge research on commercializing auditory neuroscience, future developments in bionanotechnology, sustainable urban transportation, and managing disruptions to supply chains, among other topics. Appendixes include information about contributors, the symposium program, and a list of meeting participants. This is the twelfth volume in the USFOE series.
This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.
None
None