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.
Who Will Be There
Hardware & Architectures
Hardware Engineers & Architects – IP, IC Design, Architecture & Engineering, Storage, Memory & Interconnect
Systems & Algorithms
Systems Engineers & Architects, Machine Learning & Algorithm Engineers & Architects, Scientists & Researchers – OEMs, Systems Integrators, CSPs
Software & Applications
Software & Application Developers – Enterprise, IoT, Automotive, Robotics etc.
Infrastructure & Networking
Engineers & Architects, Researchers, Partnerships & Ecosystem Development - Telco Operators, Edge Infrastructure, Connectivity
Sample Attendees Include
2019 Speakers
Yvonne Lutsch
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
CHENG WANG. Senior VP Engineering: Architecture, Software, Silicon. Originally from Shanghai, PRC. BSEECS, UC Berkeley. Cheng has led the architecture, silicon implementation and software development for eFPGA over two generations from 180nm-16nm and now neural inferencing. Two years as VLSI designer at Zoran. 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.
Flex Logix’s NMAX platform excels at getting high hardware utilization at batch=1, which is critical for edge applications. Most of the new information is in the 2nd half of the slide deck.
NMAX delivers from 1 to 100+TOPS, as you need, at 10x lower cost and 3-5x lower power than existing solutions because we get 50-80% MAC utilization on tough models, meaning we need less silicon area, and we achieve it with 10x less DRAM bandwidth, meaning less DRAM cost and system power.
Brian Stevenson
Ramya Ravichander
Rashmi Gopinath
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
Maria Karaivanova
Maria joined Madrona in early 2017. As part of the investment team, Maria is focused on sourcing and evaluating new investment opportunities, working with portfolio companies to explore and evaluate business strategies and developing investment themes for the firm. She is particularly interested in founders doing new things in the enterprise software, cloud security, IOT, and infrastructure arena. She serves on the board of Madrona companies including Pulse Labs and Rigado.
Maria has nearly a decade of deep technology experience, garnered through roles at some of the world’s leading technology companies, including Cloudflare, Intel and Boeing. Maria joined Madrona from the executive team member at Cloudflare, a San Francisco – based web performance and security company, where she led business development and helped build the company from 25 employees to unicorn status.
While at Cloudflare, Maria built a global ecosystem of over five thousand partners and launched strategic partnerships with Google, Rackspace and other leading cloud platforms, delivering significant revenue and distribution. Prior to Cloudflare, Maria was an investor at Intel Capital with a focus on enterprise technologies and cloud security. She was also part of the Intel-McAfee strategic engagement team helping integrate security into firmware. Before that, Maria held various positions at Boeing specializing in intellectual property management and international business development for the Chinook, Apache and F-15 programs, and unmanned aircraft. She started her career as an analyst at Citibank. Maria has an MBA from Harvard Business School and a BSBA in Finance with high honors from Saint Louis University.
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
Event Partners
Applied Brain Research
Website: https://appliedbrainresearch.com/
Please visit our website for more information.Mythic
Website: http://www.mythic-ai.com
BRINGING NEXT-LEVEL AI TO EVERY DEVICE CONSTANT EVOLUTION
Mythic envisions a world where every device is intelligent, with human-like senses and high-level understanding of the environment around it. To realize this we built a team of top talent who bring decades of industry experience from across the entire computing spectrum – empowering everyone to challenge assumptions and eliminate the barriers to achieving our mission. They’ve gone beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms. The result: Powerful life-enhancing AI that customers can push into anything – from fitness bands and hearing aids to self-driving cars and robotic drones.
2019 Media Partners
Omdia
Website: https://tractica.omdia.com/
Omdia is a global technology research powerhouse, established following the merger of the research division of Informa Tech (Ovum, Heavy Reading and Tractica) and the acquired IHS Markit technology research portfolio.
We combine the expertise of more than 400 analysts across the entire technology spectrum covering 150 markets and publish over 3,000 research reports annually, reaching over 14,000 subscribers, and covering thousands of technology, media, and telecommunications companies.
Our exhaustive intelligence and deep technology expertise allow us to uncover actionable insights that help our customers connect the dots in today’s constantly evolving technology environment and empower them to improve their businesses – today and tomorrow.
Bloomberg NEF
Website: https://about.bnef.com/
BloombergNEF is a leading provider of primary research on clean energy, advanced transport, digital industry, innovative materials, and commodities.
Cognilytica
Website: http://www.cognilytica.com
Cognilytica is an Artificial Intelligence and Machine Learning focused analyst firm producing adoption-focused research on application, use cases & market intelligence on Cognitive Technologies.
Emerj
Website: http://www.emerj.com
Emerj helps business leaders survive and thrive in AI disruption. Jargon free research, case studies and business insight. Connecting business leaders to the products and services they need to stay ahead of the competition.
Edge Computing Association
Website: https://edgecomputingassociation.com/
Please visit our website for more information.Semiconductor Engineering
Website: https://semiengineering.com/
Please visit our website for more information.Embedded Computing Design
Website: https://www.embedded-computing.com/
Engineers and developers have different needs based on a variety of factors, which include geography, generation, or most important, which segment of the design cycle they are operating in. Embedded Computing Design understands the design engineer/developer and those needs. Hence, we provide the necessary and pertinent information how, when, and where it’s most useful. We segment the majority our coverage into the following categories: industrial, automotive, consumer; and medical/healthcare. The overriding technologies prevalent in everything we cover include IoT, security, AI/machine learning, and analog/power.
2019 HIGHLIGHTS
The Agenda
We're still working on the 2020 agenda, please complete your details to receive a copy of the 2019 agenda to explore the type of topics that will be covered.
Watch highlights from the Edge AI Summit 2019:
Download the 2019 Agenda
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