High Performance Embedded Computing Handbook: A Systems Perspective

Author:   David R. Martinez (MIT Lincoln Laboratory, Lexington, Massachusetts, USA) ,  Robert A. Bond (MIT Lincoln Laboratory, Lexington, Massachusetts, USA) ,  M. Michael Vai (MIT Lincoln Laboratory, Massachusetts, USA) ,  Robert A. Bond (MIT Lincoln Laboratory, Lexington, Massachusetts, USA)
Publisher:   Taylor & Francis Inc
ISBN:  

9780849371974


Pages:   602
Publication Date:   20 June 2008
Format:   Hardback
Availability:   In Print   Availability explained
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High Performance Embedded Computing Handbook: A Systems Perspective


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Author:   David R. Martinez (MIT Lincoln Laboratory, Lexington, Massachusetts, USA) ,  Robert A. Bond (MIT Lincoln Laboratory, Lexington, Massachusetts, USA) ,  M. Michael Vai (MIT Lincoln Laboratory, Massachusetts, USA) ,  Robert A. Bond (MIT Lincoln Laboratory, Lexington, Massachusetts, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 17.80cm , Height: 3.30cm , Length: 25.40cm
Weight:   1.270kg
ISBN:  

9780849371974


ISBN 10:   084937197
Pages:   602
Publication Date:   20 June 2008
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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"David R. Martinez is Laboratory Fellow at MIT Lincoln Laboratory and MIT Lead Instructor. His emphasis is on artificial intelligence, high performance computing, and technical leadership. Prior to this appointment, he was Associate Division Head, and a member of the Laboratory's Steering Committee. He is the MIT Lead Lecturer for the course titled: ""AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment."" The course is based on his former graduate engineering course taught at MIT that instructed students on techniques to formulating an AI strategic roadmap, starting from AI architecture principles, leading to concept prototyping, and deployment of end-to-end AI system capabilities, including hands-on experiential learning leveraging a single-board computer. The course also addressed responsible AI, and the leadership of multi-disciplinary teams. Mr. Martinez has developed and led complex prototype systems, from their inception to their final deployments. The system demonstrations operated in real-time, leveraging adaptive signal processing and high performance embedded computing. These successful prototype demonstrations served as the pathfinder for industry to later commercialize. He has been a keynote speaker at both national and international conferences. He was elected IEEE Fellow ""for technical leadership in the development of high performance embedded computing for real-time defense systems."" He holds three U.S. patents based on his work in signal processing for seismic applications. He received the special achievement award from ARCO Oil and Gas Research Center. He established and chaired workshops on Robustness of AI Systems and Artificial Intelligence for Cyber Security. He was awarded the Eminent Engineer Award from the College of Engineering at NMSU, and was elected to the NMSU Klipsch Electrical and Computer Engineering Academy. Mr. Martinez was awarded a BS degree from New Mexico State University, an MS degree from MIT, and the EE degree jointly from MIT and the Woods Hole Oceanographic Institution in Electrical Engineering and Oceanographic Engineering. He completed an MBA from the Southern Methodist University. He was born in El Paso, Texas, to a Mexican-American father and a Bolivian mother, and grew up in South America. He is fluent in Spanish. He is an avid saltwater fisherman, golfer, and outdoorsman."

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