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Frontiers of Engineering. Reports on Leading-Edge Engineering from the 2017 Symposium
National Academy Of Engineering (Autor)
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National Academies Press
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Frontiers of Engineering. Reports on Leading-Edge Engineering from the 2017 Symposium - National Academy of Engineering
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Reseña del libro "Frontiers of Engineering. Reports on Leading-Edge Engineering from the 2017 Symposium"
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 ContentsFront MatterMACHINES THAT TEACH THEMSELVESMachines That Teach Themselves - Rajan BhattacharyyaHumans and Computers Working Together to Measure Machine Learning Interpretability - Jordan Boyd-GraberENERGY STRATEGIES TO POWER OUR FUTUREEnergy Strategies to Power Our Future - Katherine Dykes and Jeremy MundayAgile Fractal Systems: Reenvisioning Power System Architecture - Timothy D. Heidel and Craig MillerBig Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet - Bouchra BouqataAcross Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow's Energy Conversion Devices - Mariana BertoniWireless Charging of Electric Vehicles - Khurram AfridiUNRAVELING THE COMPLEXITY OF THE BRAINUnraveling the Complexity of the Brain - Xue Han and Maryam M. ShanechiTechnologies to Interface with the Brain for Recording and Modulation - Ellis MengBrain-Machine Interface Paradigms for Neuroscience and Clinical Translation - Samantha R. Santacruz, Vivek R. Athalye, Ryan M. Neely, and Jose M. CarmenaThe Roles of Machine Learning in Biomedical Science - Konrad Paul Kording, Ari S. Benjamin, Roozbeh Farhoodi, and Joshua I. GlaserEfficient Feature Extraction and Classification Methods in Neural Interfaces - Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, and Azita EmamiMEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORKMegatall Buildings and Other Future Places of Work - Maria Paz Gutierrez and Marija TrckaThe Evolution of Elevators: Physical-Human Interface, Digital Interaction, and Megatall Buildings - Stephen R. NicholsSupertall Timber: Functional Natural Materials for High-Rise Structures - Michael H. RamageApplications of Insights from Biology and Mathematics to the Design of Material Structures - Jenny E. SabinAPPENDIXESContributorsParticipantsProgram
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