Keynote Presentation NSF Workshop on Applications and Services in 2021

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Presentation transcript:

“Advanced Cyberinfrastructure Enabled Services and Applications in 2021” Keynote Presentation NSF Workshop on Applications and Services in 2021 Washington, DC January 28, 2016 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD

The Cyberinfrastructure of 2021 Will Be Radically Different from 2016 Wired Wireless Sensors Computer Architecture Visualization

NSF Has Funded Over 100 Campuses to Build Local “Big Data” Optical Fiber Freeways 1000x Shared Internet Speed Red 2012 CC-NIE Awardees Yellow 2013 CC-NIE Awardees Green 2014 CC*IIE Awardees Blue 2015 CC*DNI Awardees Purple Multiple Time Awardees 2012-2015 CC-NIE / CC*IIE / CC*DNI Programs Source: NSF

Optical Fibers Linking Big Data Researchers at 10-100Gbps in U. S Optical Fibers Linking Big Data Researchers at 10-100Gbps in U.S., Australia, Korea, Japan, and the Netherlands

Creates 10M Alerts/Night Within 1 Minute of Observing Global Scientific Instruments Will Produce Ultralarge Datasets Continuously: New Services and Applications Needed for Data Scientific Discovery Square Kilometer Array Large Synoptic Survey Telescope Tracks ~40B Objects, Creates 10M Alerts/Night Within 1 Minute of Observing 2x40Gb/s https://tnc15.terena.org/getfile/1939 www.lsst.org/sites/default/files/documents/DM%20Introduction%20-%20Kantor.pdf https://tnc15.terena.org/getfile/1939

5G Will Enable a Wide Range of New Wireless Applications and Services Connecting People and Things

The Jump from Wireless 4G to 5G Will Be Transformative: ITU’s International Mobile Telecommunication (IMT) System www.netmanias.com/en/post/blog/7335/5g-kt/key-parameters-for-5g-mobile-communications-itu-r-wp-5d-standardization-status

Massive Changes in Our Ability to Quantify the World Simultaneously Explosively Decrease in Sensor Cost and Increase of Use www.genome.gov/images/content/costperMb2015_4.jpg

New Computing Architectures Are Developing Rapidly From the End of Scaling Which Drove Moore’s Law Nanoelectronic Computing Approximate Computing Quantum Computing Brain-Inspired Computing Quantum Realm Graph source: www.iue.tuwien.ac.at/phd/filipovic/node20.html

The Future of Supercomputing “High Performance Computing Will Evolve Towards a Hybrid Model, Integrating Emerging Non-von Neumann Architectures, with Huge Potential in Pattern Recognition, Streaming Data Analysis, and Unpredictable New Applications.” Horst Simon, Deputy Director, U.S. Department of Energy’s Lawrence Berkeley National Laboratory

Left & Right Brain Computing: Arithmetic vs. Pattern Recognition Adapted from D-Wave

Massive Public Private Partnership to Accelerate Brain-Inspired Computers Over $100 Million Jan/Feb 2014

Brain-Inspired Processors Are Accelerating the non-von Neumann Architecture Era August 8, 2014 “On the drawing board are collections of 64, 256, 1024, and 4096 chips. ‘It’s only limited by money, not imagination,’ Modha says.” Source: Dr. Dharmendra Modha Founding Director, IBM Cognitive Computing Group

Contextual Robots With Neuromorphic Processors That Can See and Learn Will Tie Into the Planetary Computer April 2014

From One Million to One Billion Users If You Are Planning New Applications and Services On a Ten Year Horizon, It Helps to See What Unexpected Change Can Happen In a Decade… www.thesocialnetwork-movie.com DEC 2004 From One Million to One Billion Users In Less Than 8 Years! One Decade www.benphoster.com/wp-content/uploads/2011/07/Facebook-User-Growth-Chart.png

Collaborating in Virtual Reality at 10Gbps University Research Frontier Today-What About in Five Years? Calit2 EVL Source: NTT Sponsored ON*VECTOR Workshop at Calit2 March 6, 2013

Why Would a Social Network Company Buy a Consumer Virtual Reality Company?

-Mark Zuckerberg, Facebook CEO One Year Later… “We're working on VR because I think it's the next major computing and communication platform after phones…” -Mark Zuckerberg, Facebook CEO July 1, 2015

Examples of Massive Markets That Are Being Disrupted by a Combination of These Cyberinfrastructure Advances Quantified Machines Lead to the Industrial Internet Quantified Cars and Drones Lead to Self-Driving Vehicles Quantified Houses Lead to the Smart Electric Grid Quantified Selves Lead to Personalized Preventive Healthcare

The Planetary-Scale Computer Fed by a Trillion Sensors Will Drive a Global Industrial Internet “Within the next 20 years the Industrial Internet will have added to the global economy an additional $15 trillion.” --General Electric www.ge.com/docs/chapters/Industrial_Internet.pdf Next Decade One Trillion www-bsac.eecs.berkeley.edu/frontpagefiles/BSACGrowingMEMS_Markets_%20SEMI.ORG.html

Realtime Data Mapping Will Transform The Transportation Industry

Traffic Control for Drone Air Delivery is Under Development by NASA, Amazon, & Google

The Electric Grid Is Becoming More Like the Internet

From One to a Trillion Data Points Defining Me in 15 Years: The Exponential Rise in Body Data Weight Blood Variables Human Genome SNPs Microbial Genome Time Series Improving Body Discovering Disease Human Genome

I Decided to Track My Internal Biomarkers Just As I Did My External Body One Blood Draw For Me Calit2 64 Megapixel VROOM

Startup MC10 Working With UIUC A New Generation of Human Body Sensors Will Provide Continuous Readouts Startup MC10 Working With UIUC

Consumer Internal Self-Tracking Tools Are Growing Rapidly Blood Variable Time Series Stool Variable Time Series Integrated Wellness Human Genetic Variations Human Microbiome

How Will the Quantified Consumer The Emergence of P4 Medicine -- Predictive, Preventive, Personalized, Participatory How Will the Quantified Consumer Be Integrated into Healthcare Systems? Lee Hood, Director ISB Systems Biology & Systems Medicine Consumer-Driven Social Networks P4 MEDICINE Digital Revolution Big Data

A Vision for Healthcare in the Coming Decades Using this data, the planetary computer will be able to build a computational model of your body and compare your sensor stream with millions of others. Besides providing early detection of internal changes that could lead to disease, cloud-powered voice-recognition wellness coaches could provide continual personalized support on lifestyle choices, potentially staving off disease and making health care affordable for everyone. ESSAY An Evolution Toward a Programmable Universe By LARRY SMARR Published: December 5, 2011

Deep Learning Will Provide Personalized Assistants to Each of Us January 10, 2014 Where Personalized Coaching is Going Where Personalized Coaching is Now

Is the Release of Google’s of TensorFlow as Transformative as the Release of C? From Programming Computers Step by Step To Achieve a Goal To Showing the Computer Some Examples of What You Want It to Achieve and Then Letting the Computer Figure It Out On Its Own --Jeremy Howard, Singularity Univ. 2015 https://exponential.singularityu.org/medicine/big-data-machine-learning-with-jeremy-howard/

Training on 30M Moves, Then Playing Against Itself AI is Advancing at a Amazing Pace: Deep Learning Algorithms Working on Massive Datasets 1.5 Years! Training on 30M Moves, Then Playing Against Itself

Reverse Engineering of the Brain Is Accelerating Under the Federal Brain Initiative www.whitehouse.gov/infographics/brain-initiative

“There are ~300M Pattern Recognizers in the Human Neocortex.” Kurzweil’s Theory of Mind: The Human Neocortex is a Self-Organizing Hierarchical System of Pattern Recognizers November 13, 2012 “There are ~300M Pattern Recognizers in the Human Neocortex.” In the Emerging Synthetic Neocortex, “Why Not a Billion? Or a Trillion?”

The Defining Issue in IT for the Coming Decades August 25, 2015 May 5, 2015

This Next Decade’s Computing Transition Will Not Be Just About Technology "Those disposed to dismiss an 'AI takeover' as science fiction may think again after reading this original and well-argued book." —Martin Rees, Past President, Royal Society Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks. – Steven Hawking If our own extinction is a likely, or even possible, outcome of our technological development, shouldn't we proceed with great caution? – Bill Joy