Live-Stream


Decoding IEEE Humanitarian Engineering Programs

29 October, 11:00 am EDT

Speaker: Sampathkumar Veeraraghavan

Sampathkumar Veeraraghavan, Global chair, IEEE Special Interest group on Humanitarian technologies will share a deep dive session on popular IEEE humanitarian and sustainable development programs like SIGHT and EPICS. This talk will present best practices in designing and delivering technology-based Humanitarian programs and relevant opportunities with in IEEE to engage. This session also includes a student panel where members will share their experiences working on humanitarian projects through their IEEE membership. The audience will have the opportunity to ask questions of these speakers.

Speaker’s Bio:

Sampathkumar Veeraraghavan, currently serves as the global chairman of the IEEE Special Interest Group on Humanitarian Technology (SIGHT) managing the portfolio of sustainable development programs globally. He is a globally renowned technologist best known for his technological innovations in addressing global humanitarian and sustainable development challenges. He serves as an expert in the Broadband commission working group on school connectivity that is co-chaired by UNESCO, UNICEF and ITU to drive “GIGA’, a Global School Connectivity Initiative. He is the founder and president of the technology-based humanitarian program “The Brahmam”, that aims to deliver next generation social innovations to achieve sustainable development goals and benefit the marginalized communities globally. He received his B.E. degree in Computer Science and Engineering (2005) from Anna University, India, and M.S. degree in Electrical Engineering from Tufts University, USA (2010).

Throughout his career, he spearheaded cutting-edge technology development programs in the areas of Artificial Intelligence, Computer vision, Spoken language technology, Cloud computing, Information systems, Assistive technologies and Sustainable technologies. For over a decade, he delivered technology driven sustainable programs that brought together the engineering communities, non-profit organizations, governmental agencies and disability advocacy groups to improve the living conditions of children with disabilities and impoverished women and students in developing nations.

He is accredited with numerous global awards for his leadership contributions and innovations in leading technology-based humanitarian programs. Most recently, he is the recipient of the 2020 IEEE Theodore W.Hissey Outstanding Young Professional Award “for inspiring leadership, exemplary innovations, and pioneering contributions to addressing global challenges through technology-driven IEEE humanitarian programs."





Abstract:

GPU/accelerator architectures have greatly improved the training and inferencing speed for neural-network-based machine learning models. As major industry players race to develop ambitious applications such as self-driving vehicles, unstructured data analytics, human-level interactive systems, and human intelligence augmentation, major challenges remain in computational methods as well as hardware/software infrastructures required for these applications to be effective, robust, responsive, accountable and cost-effective. These applications impose much higher levels of data storage capacity, access latency, energy efficiency, and throughput. In this talk, I will present a vision for building a new generation of computing components and systems for these applications.

Speaker’s Bio:

Wen-mei W. Hwu is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He is the director of the IMPACT research group (www.crhc.uiuc.edu/Impact). He co-directs the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR) and serves as one of the principal investigators of the NSF Blue Waters Petascale supercomputer. For his contributions, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the IEEE Computer Society Charles Babbage Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley.

Description

The Low Power Image Recognition Challenge (LPIRC) 2019 is a one-day workshop that will extend the successes of LPIRC from the past four years, identifying the best computer vision solutions that can simultaneously achieve high accuracy and energy efficiency. Since the first competition, held in 2015, the winners’ solutions have improved 24x in the ratio of accuracy divided by energy.

The live-stream of LPIRC will feature presentations from researchers and last year's winner (all times PDT):

09:30-09:40 - Welcome by Organizers and Summary of Online Challenge

09:40-10:30 - 2018 competition winners will give a talk on their winning solutions — Amazon's Tao Sheng, and Expasoft's Alexander Goncharenko and Sergey Alyamkin

10:30-11:10 - Invited Talk: Rethinking the Computations in Computer Vision (and the Hardware that Computes Them) - UC Berkeley's Kurt Keutzer

11:10-13:40 - Live-stream will shut down temporarily

13:40-14:00 - Invited Talk: Visual Wake Words Challenge - Google's Aakanksha Chowdhery and Pete Warden

Additional Supporting Details

  • Additional Speaker

    Title, Company

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  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

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  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

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