Muriel Médard Cecil H. Green Professor of Electrical Engineering and Computer Science
Michael Short Norman C. Rasmussen Assistant Professor of Nuclear Science and Engineering
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Simichi Levi Supply Chain 6 12 20
The Future of AI Hardware
Jesús A. del Alamo Donner Professor, MIT Department of Electrical Engineering and Computer Science (EECS)
Munther Dahleh William A. Coolidge Professor, Department of Electrical Engineering and Computer Science
Panelists: Thomas Lee Professor of Electrical Engineering, Stanford University
Susan Feindt Senior Vice President of Ecosystem Development, Natcast
Jennifer Lloyd Corporate Vice President, Multi-Market Power Business Unit, Analog Devices
Kenneth O Professor of Electrical Engineering, University of Texas, Dallas
Dario Gil Senior Vice President and Director, IBM Research
With the proliferation of commercial wearable devices, we are now able to obtain unprecedented insight into the ever-changing physical state of our bodies. These devices allow real-time monitoring of biosignals that can generate actionable information to enable optimized interventions to avoid injury and enhance performance. Combat and medical planners across all military services are keenly interested in harnessing wearable sensor advances to diagnose, predict, and improve warfighter health and performance. However, moving from civilian promise to military reality is complex, with unique requirements of hardware design, real-time networking, data management, cybersecurity, predictive model building, and decision science. Emerging technologies for military on-the-move monitoring will be highlighted, along with a discussion of an integrated open systems architecture approach for functional evolution.
Justin Solomon X-Consortium Career Development Associate Professor of Electrical Engineering and Computer Science