||Humans and computers working together to measure machine learning interpretability / Jordan Boyd-Graber -- 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 opporunities, trends and challenges in the industrial internet / Bouchra Bouqata -- Across dimensions and scales : how imaging and machine learning help design tomorrow's energy conversion devices / Mariana Bertoni -- Wireless charging of electric vehicles / Khurram Afridi -- 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 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 Emani -- 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.
||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.
|Bibliography note||Includes bibliographical references.|
|Funding information||Funding for the activity that led to this publication was provided by The Grainger Foundation, United Technologies Corporation, National Science Foundation, Defense Advanced Research Projects Agency, Department of Defense ASD(R & E) Research Directorate--Laboratories Office, Air Force Office of Scientific Research, Microsoft Research, Cummins Inc., and individual donors. This material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-17-1-0406. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Air Force. This material is based upon work supported by the National Science Foundation under Grant No. 1724425. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.|
|Source of description||Online resource; title from PDF title page (viewed September 26, 2018).|
|Issued in other form||Print version: National Academy of Engineering. Frontiers of engineering : reports on leading-edge engineering from the 2017 symposium. Washington, DC : The National Academies Press, ©2018 xi, 127 pages 9780309466011|