Frontiers of Engineering 2018

The intent of this book is to highlight innovative developments in engineering research and technical work.

The first section described machines that process information into useful output by learning their own models.

The next sections addressed the question, "How will we power our future?" The answer will be multifaceted and involve power generation and storage, new grid technologies, and transportation electrification. 

Contents
Preface
MACHINES THAT TEACH THEMSELVES
Machines That Teach Themselves
Humans and Computers Working Together to Measure Machine Learning Interpretability
ENERGY STRATEGIES TO POWER OUR FUTURE
Energy Strategies to Power Our Future
Agile Fractal Systems: Reenvisioning Power System Architecture
Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet
Across Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow's Energy Conversion Devices
Wireless Charging of Electric Vehicles
UNRAVELING THE COMPLEXITY OF THE BRAIN
Unraveling the Complexity of the Brain
Technologies to Interface with the Brain for Recording and Modulation
Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation
The Roles of Machine Learning in Biomedical Science
Efficient Feature Extraction and Classification Methods in Neural Interfaces
MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK
Megatall Buildings and Other Future Places of Work
The Evolution of Elevators: Physical-Human Interface, Digital Interaction, and Megatall Buildings
Supertail Timber: Functional Natural Materials for High-Rise Structures
Applications of Insights from Biology and Mathematics to the Design of Material Structures
APPENDIXES