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Program
Pages 125-128

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From page 125... ... Program NATIONAL ACADEMY OF ENGINEERING 2017 US Frontiers of Engineering September 25-27, 2017 Chair: Robert Braun, University of Colorado Boulder MACHINES THAT TEACH THEMSELVES Organizer: Rajan Bhattacharyya, HRL Laboratories Reinforcement Learning and Learning to Promote Learning Emma Brunskill, Stanford University Can Machines Spot Diseases Faster Than Expert Humans? Suchi Saria, Johns Hopkins University Humans and Computers Working Together to Measure Machine Learning Interpretability Jordan Boyd-Graber, University of Maryland * Read the entire page →
From page 126... ... * UNRAVELING THE COMPLEXITY OF THE BRAIN Organizers: Xue Han, Boston University, and Maryam Shanechi, University of Southern California Technologies to Interface with the Brain for Recording and Modulation Ellis Meng, University of Southern California Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation Jose Carmena, University of California, Berkeley The Roles of Machine Learning in Biomedical Science Konrad Kording, University of Pennsylvania Efficient Feature Extraction and Classification Methods in Neural Interfaces Azita Emami, California Institute of Technology * Read the entire page →
From page 127... ... PROGRAM 127 MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK Organizers: Maria Paz Gutierrez, University of California, Berkeley, and Marija Trcka, United Technologies Corp. The Evolution of Elevators: Physical Human Interface, Digital Interaction, and Megatall Buildings Stephen Nichols, Otis Supertall Timber: Functional Natural Materials for High-Rise Structures Michael Ramage, University of Cambridge Applications of Insights from Biology and Mathematics to the Design of Material Structures Jenny Sabin, Cornell University Read the entire page →

From page 125...

... Program NATIONAL ACADEMY OF ENGINEERING 2017 US Frontiers of Engineering September 25-27, 2017 Chair: Robert Braun, University of Colorado Boulder MACHINES THAT TEACH THEMSELVES Organizer: Rajan Bhattacharyya, HRL Laboratories Reinforcement Learning and Learning to Promote Learning Emma Brunskill, Stanford University Can Machines Spot Diseases Faster Than Expert Humans? Suchi Saria, Johns Hopkins University Humans and Computers Working Together to Measure Machine Learning Interpretability Jordan Boyd-Graber, University of Maryland *

Read the entire page →

From page 126...

... * UNRAVELING THE COMPLEXITY OF THE BRAIN Organizers: Xue Han, Boston University, and Maryam Shanechi, University of Southern California Technologies to Interface with the Brain for Recording and Modulation Ellis Meng, University of Southern California Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation Jose Carmena, University of California, Berkeley The Roles of Machine Learning in Biomedical Science Konrad Kording, University of Pennsylvania Efficient Feature Extraction and Classification Methods in Neural Interfaces Azita Emami, California Institute of Technology *

Read the entire page →

From page 127...

... PROGRAM 127 MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK Organizers: Maria Paz Gutierrez, University of California, Berkeley, and Marija Trcka, United Technologies Corp. The Evolution of Elevators: Physical Human Interface, Digital Interaction, and Megatall Buildings Stephen Nichols, Otis Supertall Timber: Functional Natural Materials for High-Rise Structures Michael Ramage, University of Cambridge Applications of Insights from Biology and Mathematics to the Design of Material Structures Jenny Sabin, Cornell University

Read the entire page →

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Program Pages 125-128

Program
Pages 125-128