Webinar

IEEE European Public Policy Webinar on Artificial Intelligence


EU approach to AI - role of and implications for the technology community
Wednesday, 30 June 2021
16:00-16:45, Central European Summer Time (CEST)
Duration: 45 minutes

The ninth in a series of public policy webinars from the IEEE European Public Policy Committee (EPPC) will focus on the European Union’s approach to Artificial Intelligence. Building on the recent proposal by the European Commission for the first ever legal framework on AI, the webinar will also look at the role of, and implications for, the technology community in laying down harmonized rules on artificial intelligence. Participants will also be briefed on the work being carried out and planned by IEEE in the realm of AI, both in the framework of AI standardization and certification activities, as well as in the context of European technology policy.

In this webinar you will learn about:
1. The European Union’s approach to AI
2. The EC proposal for a regulatory framework on AI and a revised coordinated plan on AI
3. IEEE activities and initiatives on AI, especially those by the EPPC and IEEE-SA

Moderator:
Dr. Clara Neppel, Senior Director, IEEE European Business Operations

Speakers:
1. Mr. Salvatore Scalzo, Policy & Legal Officer in the field of AI at the European Commission
2. Dr. Cecilia Metra, Chair of the EPPC WG on ICT, IEEE Director Elect / Division V Delegate Elect, former President of the IEEE Computer Society, and Full Professor and Deputy President of the School of Engineering at the University of Bologna, Italy
3. Dr. Ansgar Koene, Global AI Ethics and Regulatory Leader at E&Y, and Chair of the IEEE Working Group P7003 Standard for Algorithm Bias Consideration

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

    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.

  • Additional Speaker

    Title, Company

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

Oat cake toffee chocolate sweet

Muffin croissant fruitcake candy cake.

Gingerbread oat cake powder carrot cake. Lemon drops pie icing. Cotton candy jelly halvah sesame snaps jelly powder danish. Pie sweet roll cake lollipop cake. Icing pie dragée gummies jelly soufflé carrot cake chupa chups chocolate. Cake pie jujubes chocolate cake marshmallow topping tart tiramisu. Tootsie roll cupcake halvah sweet muffin. Bear claw jelly lemon drops dessert dessert.

  • 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

CTA

CTA