Why Attend
Limitations of cloud-based AI, such as latency, power consumption, security and cost, have become bottlenecks for the deployment of AI products and services in environments close to data sources. The Edge AI Summit focuses on the challenges of disaggregating AI processing across the edge computing paradigm, from cloud to device via localized ‘fog’ compute nodes near the network edge.
Themes for this year’s summit focus on challenges such as embedding tiny machine learning models on battery-powered devices, using AI for network slicing, applying machine learning to streaming data, and deploying cohesive infrastructure to empower developers to build AI software for the edge.
The Edge AI Summit attracted 150+ technology leaders from across the globe in December 2018, and returns this November for tech companies, device manufacturers and enterprises who are deploying machine learning to the edge.
Deep Dive Workshops
DAY ONE WORKSHOP
Transforming Edge AI with WantWare
Ken Granville, CEO, MindAptiv
Sponsored by 
The total installed base of Internet of Things (IoT) connected devices is projected to amount to 75.44 billion worldwide by 2025, a fivefold increase in ten years. In order to realize the potential of edge AI, new solutions must be brought to bear to empower more businesses and individuals to benefit from numerous innovations that technologists are developing around the world.This is not a new problem. At MindAptiv, we do not believe in simply continuing to build on top of software models that were created for a different time. To do so would be the equivalent of mounting rockets onto a horse. We believe that the purpose, and even the size, of an operating system, along with its relationship to hardware, applications, data, and users, all must change. It is time for new computing modalities to emerge.After over 8 years of research and development, MindAptiv is excited to introduce to the world a new revolutionary modality for computing. We took a fresh new look at everything that software does and created an entirely new approach, while still recognizing the need for a bridge to the past. MindAptiv’s CEO, Ken Granville, will provide a view of where the revolutionary platform currently is and a few of the many product offerings it will enable. It’s CSO, Jake Kolb, will discuss new tools that will enable the hardware ecosystem, developer community, as well as businesses and users to all participate in the acceleration of edge AI adoption. Attendees will be invited to provide feedback on the technology and current product roadmaps at MindAptiv. *Attending this workshop will not require signing an NDA.
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DAY TWO WORKSHOP
Accelerating Adoption of Edge AI
Venky Veeraraghavan, Partner Group Program Manager, Microsoft
Moe Tanabian, GM, Intelligent Devices, Microsoft
Sponsored by 
AI on edge devices is entering the “peak of inflated expectations.” Despite the potential for unprecedented gains in many areas, the complexity and bespoke nature of edge AI implementations means that this technology has the potential for a long stay in the “trough of disillusionment”, with only the most mature companies, with the most to invest, reaping the full benefits.
Based on our experience using Azure AI perception capabilities to build HoloLens 2 and Azure Kinect DK, and partnering with many early adopted of edge AI across industries and scenarios, Microsoft is investigating strategies, technologies and tools to accelerate the adoption/return on investment for developing and deploying AI solutions on edge devices.
In this invite only workshop, Moe Tanabian, GM of Azure Devices and Chandu Thekkath, Distinguished Engineer of AI Platforms, will discuss where Microsoft see the most significant opportunities, how the HW ecosystem and developer community have a role to play in accelerating adoption.
Attendees will get the opportunity to provide feedback on early stage product strategy from Microsoft.
*Attending this workshop requires signing an NDA prior the conference start.
Who Will Be There
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Hardware & Architectures
Hardware Engineers & Architects – IP, IC Design, Architecture & Engineering, Storage, Memory & Interconnect
25% -
Systems & Algorithms
Systems Engineers & Architects, Machine Learning & Algorithm Engineers & Architects, Scientists & Researchers – OEMs, Systems Integrators, CSPs
25% -
Software & Applications
Software & Application Developers – Enterprise, IoT, Automotive, Robotics etc.
25% -
Infrastructure & Networking
Engineers & Architects, Researchers, Partnerships & Ecosystem Development - Telco Operators, Edge Infrastructure, Connectivity
25%
Sample Attendees Include
The Speakers
Yvonne Lutsch
Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.
Vera Serdiukova
Caroline Chan
Caroline Chan is Vice President and General Manager of the 5G Infrastructure Division at Intel Corporation Network Platform Group, responsible for driving Intel global network infrastructure strategy and deliverables for 5G. Caroline leads this organization to identify and develop use cases that incorporate IoT, innovation in wireless technologies, and deployment models like mobile edge computing, alternative spectrums that enabled new service providers and enterprise networks. Since she joined Intel in 2009, Caroline has worked closely with telecom vendors, operators and application developers, driving strategy and marketing in virtualized RAN, mini Cloud RAN and mobile edge computing. Caroline also represents Intel at industry forums. Her research interests include 5G and HetNet performance. Prior to joining Intel, Caroline was Director of Product Management at Nortel Networks where she managed a portfolio of 3G and 4G wireless infrastructure products.
Vikas Chandra
Vikas Chandra is Director of AI Research at Facebook where he leads the On-device AI research focusing on AR and VR products. Prior to Facebook, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 70+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.
Ajay Nair
Ajay is an accomplished professional with several years of experience in Hardware and Software industries.
He leads teams in Product Marketing, Product Management, Product & Corporate Strategy, M&A, Engineering and Supply chain functions.
Prior to Google, he was Director of Marketing & Product Management at Broadcom, and has held management roles at LSI Corporation and Synopsys.
Anand Joshi
Cheng Wang
Originally from Shanghai, PRC. Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.
Brian Stevenson
Ramya Ravichander
Rashmi Gopinath
Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.
Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.
Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.
Bryton Shang
Bryton Shang is the founder and CEO of Aquabyte, a Silicon Valley and Norway-based venture-backed company applying machine learning and computer vision to aquaculture fish farming for biomass estimation, sea lice counting, and feed optimization and formulation. Bryton was named to the 2019 Forbes 30 Under 30 in Manufacturing & Industry.
Graduating at the top of his engineering class at Princeton University, Bryton has led several venture-backed startups. Bryton built deep learning algorithms to diagnose cancer as CTO of HistoWiz, a biotechnology firm. He also co-founded iQ License, a brand licensing platform, and Nikao Investments, an algorithmic trading firm.
Christos Kolias
Darryl Weatherspoon
Gajendra Prasad Singh
Denis Gudovskiy
Amit Goel
Marcellino Gemelli
Bernease Herman
Bernease Herman is a Sr. Data Scientist at WhyLabs, the AI Observability company, and a research scientist at the University of Washington eScience Institute. At WhyLabs, she is building model and data monitoring solutions using approximate statistics techniques. Earlier in her career, Bernease built ML-driven solutions for inventory planning at Amazon and conducted quantitative research at Morgan Stanley. Her academic research focuses on machine learning evaluation and interpretability with specialty on synthetic data and societal implications. Bernease serves as faculty for the University of Washington Master’s Program in Data Science program and as chair of the Rigorous Evaluation for AI Systems (REAIS) workshop series. She has published work in top machine learning conferences and workshops such as NeurIPS, ICLR, and FAccT. She is a PhD student at the University of Washington and holds a Bachelor’s degree in mathematics and statistics from the University of Michigan.
Miro Salem
Miro Salem is the founder 3TEN8, an Artificial Intelligence and Machine Learning platform that helps engineers to predict and diagnose degradations and outages on wireless networks. Miro started his career in telecommunications on the engineering side for some of the largest mobile network providers, including Sprint, AT&T, and Verizon. During his time as an RF Engineer at Erriccson, Miro discovered the vastly inefficient and outdated processes for network operations, which led to the founding of 3TEN8. Miro graduated from the University at Texas Dallas with a Bachelor degree in Electrical Engineering.
Mohammad Rastegari
Ravi Kokku
Kristina Serafim
Kristina Serafim is a Director at Verizon Ventures. Kristina joined Verizon Ventures from Verizon’s Big Data and Artificial Intelligence product team. Prior to Verizon, Kristina was a Director at Intellectual Ventures, where she led investments in machine learning, media, advertising, and gaming technologies. Kristina’s entrepreneurial experience includes co-founding and leading two software companies, from their inception to acquisition. Kristina also spent several years on the strategy and corporate development teams at IBM and at NAGRA Innovations. She received an electrical and mechanical engineering degree from Kettering University and an MBA from Harvard University.
Moe Tanabian
Sami Badri
Venky Veeraraghavan
Semir Haddad
Sean Batir
Sean is on a mission to help humanity transcend its physical and cognitive limitations. His professional experience lies at the intersection of artificial intelligence, software, and biotechnology, with over a decade of experience working with neural systems. Sean has been involved in the submission of over a dozen patents and academic conference submissions that range from the formation and enhancement of mammalian memory, to modular jewelry that enabled remote biometric monitoring. His previous work cofounding two smaller startups that respectively designed and sought to build biometric, modular jewelry and augmented reality contact lenses. He was involved in assessing the commercial viability of emerging technologies and inventions through the MIT Technology Licensing Office and the Columbia Technology Ventures. Currently, Sean works at BMW’s Research and Engineering division, where he both develops software that enables artificial intelligence, and engages in strategic partnerships with industrial and academic clients to build proof-of-concept prototypes for corporate adoption. Some of his most recent work spans collaborative robotics, augmented reality for improved manufacturing and knowledge sharing, next generation infrastructure connectivity, the virtualization of work-stations, enhancing robotic performance in virtual environments, and developing novel approaches for coordinated control of IoT devices. Sean graduated from the Massachusetts Institute of Technology with a Bachelor of Science in Brain and Cognitive Sciences. He also completed study at both the Imperial College of London, where he earned a Master’s of Research in Bioengineering with a specialization in neural processing algorithms, and the University of Oxford Said Business School.. Following this, Mr. Batir enrolled in a Ph.D. program studying Theoretical Neuroscience at Columbia University, and is currently on leave of absence to work at the interdisciplinary crossroads of IoT, AI, and swarm intelligence.
Ken Granville
Mike Henry
Kevin Pasquinelli
Kevin M. Pasquinelli, is an intellectual property attorney at Robins Kaplan, LLP with more than 20 years of experience working in the technology industry, before becoming an attorney. His professional background incorporates a wide range of technologies and products, including artificial intelligence/machine learning, digital hardware, video servers, medical devices, system software, software development practices, telecommunications, enterprise software, customer relationship management software, and network management software. He has represented clients ranging from start-ups to the Fortune 500 companies in numerous patent, trade secret, copyright, licensing, and trademark disputes. Before becoming an attorney, Kevin served in a variety of technology and management roles at a multinational information technology company and took on similar roles in a number of Silicon Valley startups, taking one public. Kevin can be reached at [email protected], 650.784.4025.
Deepak Dutt
Albert Liu
Albert Liu founded Kneron in 2015 with a vision to bring edge AI and machine learning to mass market consumer devices and usher in the age of AI everywhere.
After graduating from Taiwan’s Cheng Kung University, Albert was awarded a scholarship from Raytheon and the University of California to join the UC Berkeley/UCLA/UCSD research program. He eventually received his PhD in Electrical Engineering from UCLA.
Albert has worked in R&D and management positions at Qualcomm where he led a team that developed nine patents and won the Qualcomm ImpaQt Research & Development award. He’s also worked in the Samsung Electronics R&D center and for MStar and Wireless Information as a researcher.
Peter Suma
Kurt Busch
Kurt Busch is Co-Founder and Chief Executive Officer of Syntiant Corp. He has extensive experience in product development, having driven the successful launch of new products, ranging from SAS and semiconductors for telecom and broadcast video to consumer electronics and data center systems. Prior to Syntiant, he was president, chief executive officer and a member of the board of directors at Lantronix (NASDAQ: LTRX), a global provider of secure data access and management solutions for the Internet of Things (IoT) and information technology (IT).
He also served as a senior vice president and general manager of high-performance analog business unit at Mindspeed Technologies, acquired by MACOM. Prior responsibilities include technical sales and marketing roles at Analog Devices, Intel, Digital Equipment Corporation and two start-ups. Mr. Busch is an engineering hall of fame inductee of the University of California at Irvine, where he earned Bachelor of Science degrees in electrical engineering and biological science. He holds a Master of Business Administration from Santa Clara University.
Jeff Bier
Debojyoti Dutta
Nitin Shah
Sridhar Lakshmanamurthy
Headline Partner
Platinum Partner
Gold Partner
Event Partner
Media Partners
The Agenda
Please complete your details to receive a copy of the 2019 Edge AI Summit agenda.
Watch highlights from the AI Hardware Summit 2018:
Download the Agenda
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Based on your objectives, we can create bespoke packages designed specifically for you. Opportunities predominantly lie in 3 main categories: Thought Leadership, Branding, and Networking.
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Venue
COMPUTER HISTORY MUSEUM, MOUNTAIN VIEW, CA
We're excited to be holding the Edge AI Summit at the Computer History Museum, CA.
With a four-decade history as the world’s leading institution exploring the history of computing and its ongoing impact on society. The Museum is dedicated to the preservation and celebration of computer history and is home to the largest international collection of computing artifacts in the world.
Need accommodation? We recommend one of the below nearby hotels:
- Hampton Inn & Suites Mountain View, 390 Moffett Blvd, Mountain View, CA 94043 (1.3 miles from CHM)
- Hotel Vue, 64W El Camino Real, Mountain View, CA 94040 (3 miles from CHM)
- Hilton Garden Inn, 4216 El Camino Real, Palo Alto, CA94306 (4 miles from CHM)
Accessibility:
We are committed to making our event accessible for everyone. If you are traveling for the event, Cloud of Goods provides mobility scooter rentals, wheelchair rentals, and other mobility solutions. They will deliver directly to you at the event, your hotel, the airport, or any other place of your choosing. Event attendees will receive a 20% discount when they use the code: RENTGEAR032
Visit: https://www.cloudofgoods.com/
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