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

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Frontiers of Engineering

Reports on Leading-Edge Engineering from the 2017 Symposium(2018)
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Contributors

Description

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.

Topics

Suggested Citation

National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press.https://doi.org/10.17226/24906.

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Publication Info

140 pages |6 x 9
ISBNs:
  • Paperback: 978-0-309-46601-1
  • Ebook: 978-0-309-46604-2
DOI: https://doi.org/10.17226/24906
Contents

Table of Contents

 skim chapter
Front Matter i-xii
MACHINES THAT TEACH THEMSELVES 1-2
Machines That Teach Themselves - Rajan Bhattacharyya 3-4
Humans and Computers Working Together to Measure Machine Learning Interpretability - Jordan Boyd-Graber 5-12
ENERGY STRATEGIES TO POWER OUR FUTURE 13-14
Energy Strategies to Power Our Future - Katherine Dykes and Jeremy Munday 15-16
Agile Fractal Systems: Reenvisioning Power System Architecture - Timothy D. Heidel and Craig Miller 17-24
Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet - Bouchra Bouqata 25-28
Across Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow's Energy Conversion Devices - Mariana Bertoni 29-36
Wireless Charging of Electric Vehicles - Khurram Afridi 37-46
UNRAVELING THE COMPLEXITY OF THE BRAIN 47-48
Unraveling the Complexity of the Brain - Xue Han and Maryam M. Shanechi 49-50
Technologies to Interface with the Brain for Recording and Modulation - Ellis Meng 51-56
Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation - Samantha R. Santacruz, Vivek R. Athalye, Ryan M. Neely, and Jose M. Carmena 57-60
The Roles of Machine Learning in Biomedical Science - Konrad Paul Kording, Ari S. Benjamin, Roozbeh Farhoodi, and Joshua I. Glaser 61-72
Efficient Feature Extraction and Classification Methods in Neural Interfaces - Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, and Azita Emami 73-80
MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK 81-82
Megatall Buildings and Other Future Places of Work - Maria Paz Gutierrez and Marija Trcka 83-84
The Evolution of Elevators: Physical-Human Interface, Digital Interaction, and Megatall Buildings - Stephen R. Nichols 85-98
Supertall Timber: Functional Natural Materials for High-Rise Structures - Michael H. Ramage 99-104
Applications of Insights from Biology and Mathematics to the Design of Material Structures - Jenny E. Sabin 105-110
APPENDIXES 111-112
Contributors 113-116
Participants 117-124
Program 125-128
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