IEEE Industry Summit on the Future of Computing

Industry Summit
IEEE Industry Summit
On the Future of Computing
4 November 2019
San Mateo, CA, USA

 

Discovering a new era of computing

Join us on 4 November 2019 to hear leading experts discuss a new era of computing!

 

2019 Speakers

Fabio Altomare

Dr. Fabio Altomare
Experimental Physicist, D-Wave Systems Inc.

Fabio Altomare received his Laureat from University of Pisa (Italy) where he studied transport in semiconducting heterostructures, and his Ph.D. from Purdue University, with a thesis on superconductivity in 1-dimensional nanowires. He then worked as Postdoctoral Research Associate at Duke University, where he studied transport in dilute magnetic semiconductors, and at the National Institute of Standards and Technology in Boulder, where he studied superconducting qubits. From 2010, he has been working on various generation of D-Wave quantum computers. He is also author of a book on superconductivity in 1-D nanowires.

Talk: D-Wave quantum computer: A technology update

Abstract: D-Wave Systems has accumulated nearly a decade of experience with deployed commercial quantum computing systems, used by researchers from all over the world. While our quantum annealing processors were originally designed for optimization and sampling applications, in the last few years we have demonstrated their ability to simulate physical systems relevant to condensed matter physics. These early applications, along with a broad set of user feedback, have been instrumental in guiding the technological development and system design for the next generation quantum computing platform. We will give an update on several quantum magnetism experiments and review the current plans and status of D-Wave's next product, which will include innovative operating software that enables deployment of hybrid algorithms, an expanded developer environment and new quantum processor unit (QPU). The next generation QPU will feature more than 5000 qubits, increased connectivity, and will be implemented in a lower noise integrated circuit process.

 

Bronis de Supinski

Bronis de Supinski
Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL)

As Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL), Bronis R. de Supinski formulates LLNL's large-scale computing strategy and oversees its implementation. He frequently interacts with supercomputing leaders and oversees many collaborations with industry and academia. Previously, Bronis led several research projects in LLNL's Center for Applied Scientific Computing. He earned his Ph.D. in Computer Science from the University of Virginia in 1998 and he joined LLNL in July 1998. In addition to his work with LLNL, Bronis is also a Professor of Exascale Computing at Queen's University of Belfast and an Adjunct Associate Professor in the Department of Computer Science and Engineering at Texas A&M University. Throughout his career, Bronis has won several awards, including the prestigious Gordon Bell Prize in 2005 and 2006, as well as an R&D 100 for his leadership in the development of a novel scalable debugging tool.

Talk: The LLNL Near and Long Term Vision for Large-Scale Systems

Abstract: Lawrence Livermore National Laboratory's (LLNL's) supercomputing center, Livermore Computing (LC), is one of the world's leading large-scale computing sites. This talk will provide a brief overview of LC's current systems, including details of Sierra, the current number 2 system on the Top 500 list. It will then detail LC's anticipated near-term systems, including El Capitan, which will be the first exascale system of the Advanced Simulation and Computing (ASC) program of the National Nuclear Security Administration (NNSA) when it is delivered in 2022 and accepted in 2023. The talk will conclude with a brief overview of the strategies and technologies that LC is pursuing in order to ensure the continued progress of ASC capabilities as we approach the end of Moore's Law.

 

Julia Li

Julia Li
Associate Director of Baidu Research Institute USA

Julia (Xing) Li is the associate director at Baidu Research Institute USA. Ms. Li has extensive experiences in leading technical development and business applications. Under her leadership, her team made significant contributions in several research areas such as Text-To-Speech Synthesis, Medical AI Image Recognition, Deep Learning Performance Benchmark Platform MLPerf, and more. She is also experienced in technology transfer, where she leads teams to transfer technology onto applications such as Simultaneous Translate, Speech and Text-To-Speech Synthesis. She received her Master's Degree in Natural Language Processing and Machine Learning at the Chinese Academy of Sciences and an MBA degree at Haas School of Business, University of California Berkeley.

Talk: An In-Depth Look At Baidu's (BIDU) Artificial Intelligence Aspirations

Abstract: Baidu has been closely involved with AI development since its founding in 2000. The company was the first technology giant in China to investigate the use of AI in services such as Natural Language Processing (NLP), Speech, Computer Vision, Knowledge Graph, and Deep Learning. This talk will cover the latest effort we have put into the research and development in the above areas. We also would like to present some new application scenarios connecting the different aspects of AI technology into people's lives, such as smart city, intelligent transportation, video generation, and etcetera.

 

Tony Uttley

Tony Uttley
President, Honeywell Quantum Solutions

Tony Uttley currently leads Honeywell Quantum Solutions. In his role, Tony is responsible for the strategy and business execution of Honeywell’s unique technical capabilities in the field of quantum information systems.

Previously, Tony was Vice President & General Manager of Honeywell’s former Residential Home Comfort business, driving aggressive growth based on a connectivity and internet of things (IoT) strategy. Prior to that, he was Vice President Global Strategy & Marketing for Honeywell’s $18B Automation & Controls division.

Tony brings extensive experience in strategy, commercial and technical excellence to Honeywell. Prior to Honeywell, he was a Principal at the Boston Consulting Group (BCG), where he developed and executed business acceleration and go-to-market strategies for sophisticated engineered products companies within the Industrial Goods, MedTech, and Consumer Durables industries. For the 10 years prior to his role at BCG, Tony held a number of management and engineering positions with NASA at the Johnson Space Center in Houston, Texas.

Tony holds an MBA from the Kellogg School of Management at Northwestern University, a Masters degree in Management of Technology from the University of Houston system and a Bachelor of Science degree in mechanical engineering from the University of Minnesota.

Talk: Shaping the Future of Quantum Computing

 

2019 Agenda

Coming soon

 

Venue

The IEEE Industry Summit on the Future of Computing will be held Monday, 4 November 2019 at:

San Mateo Marriott
1770 S Amphlett Blvd.
San Mateo, CA 94402, USA

Hotel Reservation
Reserve Your Room (Deadline: 14 October 2019)

Local Information
San Mateo County/Silicon Valley Convention & Visitors Bureau

 

Registration

Registration for IEEE Rebooting Computing Week 2019 is open: Register now

Deadline for advance registration discount: 1 October 2019

Rebooting Computing Full Week (4-8 November)
RC Full Week Includes: Access to the Industry Summit (4 November), the IRDS™ Outbrief (5 November), the QI Workshops (6-7 November), and the ICRC Conference (6-8 November). Proceedings, Scheduled Meals, Reception and Banquet.
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IEEE Member $900 $970
Student/Life Member $500 $600
Non-Member $1000 $1100
Student Non-Member $560 $660
 
Industry Summit (4 November 2019)
Industry Summit Includes: Access to the Industry Summit on 4 November 2019, Reception, and Scheduled Meals.
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IEEE Member $355 $455
Student/Life Member $225 $320
Non-Member $425 $525
Student Non-Member $270 $325
 
IRDS™ (4-5 November 2019)
IRDS™ Workshop Includes: Access to the IRDS™ Workshop on 4 November 2019, Scheduled Meals, Receptions and Banquet. Open to IRDS™ Workshop Groups only.
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IRDS™ Workshop $50 $50
 
IRDS™ Outbrief Includes: Access to the IRDS™ Outbrief on 5 November 2019, Scheduled Meals, Receptions and Banquet
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IEEE Member $165 $195
Student/Life Member $100 $130
Non-Member $200 $235
Student Non-Member $120 $155
 
ICRC Conference (6-8 November 2019)
ICRC Conference Includes: Access to to ICRC on 6-8 November 2019, QI Workshops (6-7 November), Proceedings, Scheduled Meals, Receptions, and Banquet.
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IEEE Member $600 $700
Student/Life Member $300 $400
Non-Member $720 $820
Student Non-Member $360 $460
 
Other Events
Confluence Event Includes: Access to the Confluence Event on 8 November 2019. By Invitation Only.
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
IEEE Member $165 $195
Student/Life Member $100 $130
Non-Member $200 $235
Student Non-Member $120 $155
 
Guest Registration Includes: Access to the Reception and Banquet
Advance Registration by Tuesday, 1 October 2019 Late Registration from Tuesday, 1 October 2019
Guest Registration $100 $100

 

Sponsors, Patrons, and Endorsements

Principal Sponsor:

IEEE Rebooting Computing

Silver Patrons:

AMD

 

As a patron, you will have the opportunity to showcase your leading-edge technology, recruit professionals, and discover new ideas for future products. See available Patron Opportunities and contact Terence Martinez (t.c.martinez@ieee.org) for more information.

 

Previous IEEE Industry Summits