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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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Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium (2018)

Chapter: MACHINES THAT TEACH THEMSELVES

MACHINES THAT TEACH THEMSELVES

My Academies

Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium (2018)

Chapter: MACHINES THAT TEACH THEMSELVES

MACHINES THAT TEACH THEMSELVES