Data Big and Small
Regional Meetings
Prior conferences
Upcoming conference
more about us

 

 

[next]
December 4–6, 2017
San Francisco, CA

REGISTER here
BY November 10, 2017




agenda


Monday, December 4
6:00 PM
First-Timers Reception
6:30 PM
Welcome Reception
7:00 PM
Welcome Dinner

Tuesday, December 5
7:30 AM

Breakfast

8:30 AM
Len Kleinrock, TTI/Vanguard Advisory Board
Conference Welcome
8:50 AM

Mary Lou Jepsen, Founder & Chief Executive Officer, Openwater
Transforming Health Care and Telepathy  
What if you could see what was going on in your brain or body with the detail of a high-resolution camera or MRI machine in a simple wearable skullcap or shirt? With this comes the promise of new abilities to detect, diagnose, and treat cancer, cardiovascular disease, internal bleeding, mental disease, neurodegenerative disease, and more. It may even make possible direct communication via thought alone.

9:40 AM

Nilo Sarraf, Lead User Experience Researcher, Unity Technologies
Adding Emotion to Search
Human information interactions involve emotional and neurological responses as well as cognition. Mapping neurophysiological activities during the information search process with EEGs allows us to improve learning and information retrieval and construct better search query results, and could lead to smarter infobots and improvements to artificial neural networks.

10:20 AM
Coffee Break
10:50 AM

David Patterson, Distinguished Engineer, Google
50 years of Computer Architecture: From Mainframe CPUs to Neural-Network TPUs
Transistors are not getting much better (due to the ending of Moore’s Law) and the peak power per chip area is increasing (due to the end of Dennard scaling). The power budget per chip is limited (mechanically, thermally, and due to electromigration), and we’ve already played the multicore card (limited by Amdahl’s Law). Architects now widely believe that the only path left for major improvements in performance-cost-energy is domain-specific architectures, exemplified by Google’s Tensor Processing Unit. The TPU was only first deployed in 2015, yet it already serves billions of people. It runs deep neural network inference 15–30 times faster with 30–80 times better energy efficiency than contemporary CPUs and GPUs in similar semiconductor technologies.

11:40 AM

Doug Burger, Distinguished Engineer, Microsoft Research
FPGAs and Cloud Architectures
Hyperscale datacenter providers have struggled to balance the growing need for specialized hardware (efficiency) with the economic benefits of homogeneity (manageability). A new cloud architecture is needed that uses reconfigurable logic to accelerate both network plane functions and applications. This Configurable Cloud architecture places a layer of reconfigurable logic (FPGAs) between the network switches and the servers, enabling network flows to be programmably transformed at line rate, enabling acceleration of local applications running on the server, and enabling the FPGAs to communicate directly, at datacenter scale, to harvest remote FPGAs unused by their local servers. The resulting architecture is highly scalable. Such a Configurable Cloud architecture has been deployed at hyperscale in Microsoft’s production datacenters worldwide.

12:25 PM

TTI/Vanguard Announcements

12:30 PM
Members’ Working Lunch
1:45 PM

Kyle Roche, General Manager, Mixed Reality at Amazon Web Services
Building for Mixed Reality
There are several sandboxes that the largest technology firms in the world have to have a shovel in—cloud computing and IoT, AI/machine learning, cloud computing, AR/VR, and voice interfaces. It should come as no surprise that within the past year Amazon has quietly formed a “mixed reality” group—nor that it’s headed by the former head of the company’s IoT group, nor that it has some interesting connections to Alexa.

2:30 PM

Jonathan Marks, Cofounder and Technical Lead, Quorum Analytics
Moneyball for Congress: Mitigating Legislative and Regulatory Risk
Of all the jobs to be partially replaceable by automation, “Washington D.C. Lobbyist” was probably pretty far down the list. Yet AI can now be used to create comprehensive scorecards outlining Members’ voting records, assess legislative productivity, record how the nature and number of legislative interactions with your staff, and more. Data from the most recent American Community Survey can be used to compare and contrast district or state demographics across all Members of Congress. AI can identify who members of Congress work with most frequently, what issues they are most active on, and how effective they are at getting legislation out of committee. It can map a company’s facilities, members, employees, and suppliers to every congressional district in the country. And it can do this on the state level, and internationally as well.

3:10 PM
Coffee Break
3:40 PM

David Smith, Chief Executive Officer, CEO.Vision
Extreme Augmented Reality: What the Future Really Looks Like

4:25 PM

Tom Kalil, Senior Advisor, Eric and Wendy Schmidt Group and former Deputy Assistant to the President for Technology and Economic Policy and Deputy Director of the National Economic Council  
If You Don't Like the News, Go Out and Make Some of Your Own
The Trump Administration has not made science and technology policy a priority, and some of its proposals (e.g., cutting civilian R&D by over 20 percent; restricting high-skill immigration) are likely to undermine America’s long-term economic competitiveness. There are a number of steps that industry, academia, and other stakeholders can take to advance science, technology and innovation in the years ahead.

5:10 PM

End of First Conference Day

6:15 PM
6:30 PM
Buses to The City Club of San Francisco (155 Sansome St)  
Reception & Dinner

Wednesday, December 6
7:30 AM

Breakfast

8:30 AM

Jessica Flack, Professor Director of Collective Computation Group and CollectiveNet, Santa Fe Institute
Collective Computation and Decision-Making in Biology and Networks

9:25 AM

Peter Van Valkenburgh, Research Director, Coin Center
Blockchains, Tokens, and Regulation

10:05 AM

Michael Golay, Professor of Nuclear Science and Engineering, MIT
Nuclear Power and Climate Change
If widely accepted goals for limiting atmospheric heating are to be achieved, there remains a window of 60 to 70 years to fully transition the global energy economy away from fossil fuels. In that future world, we will get nearly all our energy from some combination of renewable and nuclear energy sources. Regardless of whether we pursue nuclear energy wholeheartedly, or merely as a backstop, should renewables not fully meet our needs, we need to begin developing better nuclear technologies. A promising menu of possibilities has long ago been identified but little advanced for several decades. Which technologies should we bring to practical fruition and deployment? How rapidly? By what means? Experience to date does not encourage optimism about how this will play out, but as engineers, as citizens, and as parents of the next generation, we must try.

10:45 AM
Coffee Break
11:15 AM

Vishal Sikka, Former CEO, Infosys
AI, Automation, and the Future of Employment

12:00 PM

A Conversation with Author Ellen Ullman
The Hand That Writes the Code Controls the World
What happens when an English major becomes a software engineer? You get a seminal memoir about her work as a programmer, a novel where the protagonists are computer programmers, and a book chronicling her computing experiences over the course of two decades. You get an insider's view of what computing is doing to us, a look at the beauty and elegance that can reside in code, and the perils when code writes code writes code without the intervention of human programmers—the loss of human agency.

12:40 PM
Members’ Working Lunch
2:00 PM

Mark Chung, Co-founder & Chief Executive Officer, Verdigris
AI, GPUs, and Smart Buildings
Verdigris is an artificial intelligence IoT platform that enables smarter and more connected buildings while reducing energy consumption and costs. Its central idea came after co-founders, Mark Chung and Jonathan Chu, had been working on advanced algorithmic acceleration for deep packet inspection at a previous company. One month Chung had an excessive electricity bill, and they decided to apply a deep packet algorithm to figuring out where it was coming from. By combining proprietary hardware sensors, machine learning, and software, the current system learns the energy patterns of a building. It can forecast energy use, issue alerts about faulty equipment and maintenance reminders, and provide detailed energy usage information for each and every device and appliance.

2:40 PM

Meredith Perry, Founder, uBeam
Wireless Power Using Ultrasound
Wireless power has long been a goal in consumer electronics and, more recently, for the Internet of Things. Current contact-based systems fall far short of the ideal solution, which would provide power at a distance, safely with respect to health, and without interfering with Wi-Fi, cellular, and other signals in the air. Using ultrasound presents engineering challenges of its own, but avoids many potential problems that electromagnetism-based systems have. The technology has been demonstrated in the lab and a commercial system is on its way.

3:20 PM

Bob Lucky, TTI/Vanguard Advisory Board
Conference Reflections

4:00 PM
Meeting Closes


home about us activities and deliverables contact faqs copyright