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Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium

English

By (author): National Academy of Engineering

This volume presents papers on the topics covered at the National Academy of Engineering's 2017 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2017 symposium was held September 25-27 at the United Technologies Research Center in East Hartford, Connecticut. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work.

Table of Contents
  • Front Matter
  • MACHINES THAT TEACH THEMSELVES
  • Machines That Teach Themselves - Rajan Bhattacharyya
  • Humans and Computers Working Together to Measure Machine Learning Interpretability - Jordan Boyd-Graber
  • ENERGY STRATEGIES TO POWER OUR FUTURE
  • Energy Strategies to Power Our Future - Katherine Dykes and Jeremy Munday
  • Agile Fractal Systems: Reenvisioning Power System Architecture - Timothy D. Heidel and Craig Miller
  • Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet - Bouchra Bouqata
  • Across Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow's Energy Conversion Devices - Mariana Bertoni
  • Wireless Charging of Electric Vehicles - Khurram Afridi
  • UNRAVELING THE COMPLEXITY OF THE BRAIN
  • Unraveling the Complexity of the Brain - Xue Han and Maryam M. Shanechi
  • Technologies to Interface with the Brain for Recording and Modulation - Ellis Meng
  • Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation - Samantha R. Santacruz, Vivek R. Athalye, Ryan M. Neely, and Jose M. Carmena
  • The Roles of Machine Learning in Biomedical Science - Konrad Paul Kording, Ari S. Benjamin, Roozbeh Farhoodi, and Joshua I. Glaser
  • Efficient Feature Extraction and Classification Methods in Neural Interfaces - Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, and Azita Emami
  • MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK
  • Megatall Buildings and Other Future Places of Work - Maria Paz Gutierrez and Marija Trcka
  • The Evolution of Elevators: Physical-Human Interface, Digital Interaction, and Megatall Buildings - Stephen R. Nichols
  • Supertall Timber: Functional Natural Materials for High-Rise Structures - Michael H. Ramage
  • Applications of Insights from Biology and Mathematics to the Design of Material Structures - Jenny E. Sabin
  • APPENDIXES
  • Contributors
  • Participants
  • Program
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Product Details
  • Dimensions: 152 x 229mm
  • Publication Date: 22 Feb 2018
  • Publisher: National Academies Press
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780309466011

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