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
Past Attendees Include
The 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
Denis Gudovskiy
Ganesh Harinath
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
Satya Nitta
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
Eric Sun
Sami Badri
Venky Veeraraghavan
Semir Haddad
Dr. Chris Eliasmith
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
Platinum Partner
Gold Partner
Flex Logix
Website: http://www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
MindAptiv
Website: https://mindaptiv.com/
Create at the Speed of Thought®
MindAptiv® has created a transformational approach to AI that improves nearly every aspect of how your business processes data. Whether in the cloud or in a remote location on the edge, our Essence® platform integrates and utilizes AI siloes, enhances data processing [even in bandwidth-constrained scenarios], and efficiently accelerates compute speeds on every class of computing device while concurrently simplifying the end-to-end process of creating machine behaviors.
Ø Improve every aspect of those systems that your business relies upon by utilizing the revolutionary approach of WantWare generated by the Essence® platform from MindAptiv. Developers, along with any others within your company that may lack a programming skillset, can now create a new generation of apps [in minutes] that generate machine-level instructions that are based on meanings any individual may provide…all in real-time. With WantWare, no one writes code!
Ø Focus your development efforts by utilizing a new generation of code packages (what we call “Dittos”) that are simple for everyone to use (speak & type in over 3000 languages, drag-n-drop, gesture, etc.). Think of Dittos as Lego® Bricks that are hot swappable packages of code, data and instructions that cover the fullness of what computing can do (including AI technology).
With Essence®, scaling computing solutions becomes much easier, faster and cheaper. Every app built using its tools auto-scales, auto-tunes and auto-synchs. The technology costs for your business will finally be positioned to drop significantly while concurrently the quality of your solutions advances beyond the reach of any known technology within the market today. Prepare yourselves and your company to…
Create at the Speed of Thought®
Event Partner
Applied Brain Research
Website: https://appliedbrainresearch.com/
Please visit our website for more information.NGD Systems
Website: https://www.ngdsystems.com/
NGD Systems manufactures the world’s most advanced computational storage drives (CSDs) that allow customers to compute anywhere the data is generated. It provides the industry’s highest capacity NVMe SSDs that are the most power efficient drives available in the smallest form factors. These products enable customers the ability to execute AI and other applications within the storage to reduce latency and provide acceleration of their results.
Media Partners
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.
Tractica
Website: http://www.tractica.com
Tractica, an Informa business, is a market intelligence firm that focuses on emerging technologies. Tractica’s global market research and consulting services combine qualitative and quantitative research methodologies to provide a comprehensive view of the emerging market opportunities surrounding Artificial Intelligence, Robotics, User Interface Technologies, Advanced Computing, Connected & Autonomous Vehicles, and Wearables & Digital Health. For more information, visit www.tractica.com.
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
Become a Sponsor
Kisaco Research provides the much-needed platform on which industry executives can network, connect and learn from each other as well as meet potential industry partners.
Far from the typical ‘meet-and-greet’ exhibition experience, you – as a sponsor or exhibitor – will be positioned as a partner of the event with a focus on the benefits of your product and brand, rather than just a name on an exhibition list.
With our extensive marketing experience and strategy, your partnership with Kisaco Research will grant you a sponsorship package that is an extension and enhancement of your current marketing and branding efforts. We value your ROI and will work with you directly on your specific goals and targets – that’s why we take special care in finding the most relevant end-users to attend, so that your financial and resource investment is smartly allocated.
Find out more by calling us at +44 (0)20 3696 2920 or email us at [email protected].
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/
Conference Packages
Sending Your Team? Group Discounts Available!
Applicable for Primary Market, Service Provider and Industry Rates Only. Not available for Academic or ‘Start-Up’ rates
Book a Team of 3+ - Save an Additional 10% Off
Book a Team of 5+ - Save an Additional 15% Off
If you would like to register a team of 3 or more, please email [email protected] for your discount coupon code before registering. PLEASE NOTE: Discounts cannot be combined with Early Bird Pricing or any other discount or offer. If you have any questions about your registration, please call us on +44 (0)20 3696 2920
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