22 chapters found containing [Change Search Term]
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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 - 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 - 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)