Unlocking the Next Wave of Intelligent Devices
The opportunity of Edge AI is clear - it is bringing real-time, personalized, scalable, and secure AI to resource-constrained devices, unlocking the next wave of intelligent devices.
Optimizing AI performance whilst operating economically at the edge remains the elusive holy grail. For four years, the Edge AI Summit has aided enterprise adopters, OEMs, AI software, and hardware providers in their pursuit of deploying AI at the edge, by helping them form partnerships that will improve the performance of embedded hardware, optimize models, and compress workloads to enable high-performing and low-footprint AI to exist at the edge.
The 4th annual Edge AI Summit unites the technologists tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.
Including case studies from: Autonomous Vehicles | Aerospace/Aviation | Energy | Consumer Electronics | Industrial Automation | Medical Devices
2021 Speakers
Ganesh Harinath
Patrick D. Bangert
Patrick heads the AI Engineering and AI Sciences teams at Samsung SDS America. He is responsible for Brightics AI Accelerator, a distributed ML training and automated ML product that is also included in the Brightics AI platform. He is responsible for X.insights, a data center intelligence platform. Among his other responsibilities is to act as a visionary for the future of AI at Samsung.
Before joining Samsung, Patrick spent 15 years as CEO at Algorithmica Technologies, a machine learning software company serving the chemicals and oil and gas industries. Prior to that, he was assistant professor of applied mathematics at Jacobs University in Germany, as well as a researcher at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory. Patrick obtained his machine learning PhD in mathematics and his Masters in theoretical physics from University College London.
A German native, Patrick grew up in Malaysia and the Philippines, and later lived in the UK, Austria, Nepal and USA. He has done business in many countries and believes that AI must serve humanity beyond mere automation of routine tasks. An avid reader of books, Patrick lives in the San Francisco Bay Area with his wife and two children.
Joseph Engler
Joseph Engler, PhD is the Chief Artificial Intelligence (AI) Scientist at Collins Aerospace. Dr. Engler is responsible for the direction of the Allison™ AI Lab including research and development, product generation, and AI services. Dr. Engler is the creator of Collins Aerospace Enterprise AI, named Allison™. He received his B.S. degrees in Mathematics and Computer Science from The Franciscan University in 2004, his M.S. degree in Industrial Engineering from the University of Iowa in 2009, and his Ph.D in Industrial Engineering from the University of Iowa in 2011. He has authored multiple peer reviewed papers, holds 13 patents, and 12 trade secrets. Prior to joining Collins Aerospace, Joseph was an Associate Research Scientist in the University of Iowa Operator Performance Laboratory where he developed a number of novel machine learning algorithms for classification of human physiology. Dr. Engler’s current research centers on Fractal Learning in Artificial Systems and his research interests include artificial general intelligence, complex adaptive systems, and chaos science. In his spare time, Joseph is an avid model railroader and loves to BBQ.
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.
Mike Henry
Elnaz Sarraf
Elnaz Sarraf is the CEO and founder of the award-winning Roybi Robot – the world’s first AI-powered smart toy to teach children language and STEM skills. It also has been named one of TIME Magazine’s Best Inventions in Education, on the 2019 CNBC Upstart 100 list as one of the world’s most promising startups, and on Fast Company’s 2019 World-Changing Ideas. Elnaz is also a Board Member at the Consumer Technology Association, Small Business Council, and member of Forbes Technology Council. Before starting ROYBI, Elnaz co-founded and led a consumer electronics/IoT company, iBaby, serving as the company's President.
Rangan Sukumar
Mahesh Makhijani
Brandon Giles
Brandon is an Electrical Engineer driven to deliver products that materially impact the world. He's on a mission to improve the engineering efficiency of embedding performant, spatial AI and CV into products
Anil Mankar
Anil Mankar has spent 30 years developing products in the semiconductor industry. At Western Digital, Mr. Mankar developed PC core Logic chipsets. During his years at Conexant Systems Inc. in the position of VP of Engineering, he developed multiple products across industry segments and later became the company's Chief Development Officer overseeing all product development for V92 Modem, DSL, Set-top boxes, PC audio and video 'System on a Chip' products. Mr. Mankar was SVP of VLSI Engineering at Mindspeed Technologies, responsible for Wireless and VOIP infrastructure product development.
Javad Heydari
Pete Bernard
Denis Gudovskiy
Amarjot Singh
Dr Amarjot Singh is the founder and chief executive officer (CEO) of Skylark Labs LLC., that creates advanced AI systems to solve today's far-reaching physical security challenges. Dr Singh is also a research fellow at Stanford University and part of the L2M DARPA program, USA, where he is attempting to develop a framework for Artificial General Intelligence (AGI). Before launching Skylark and joining Stanford, Singh received his doctorate in Artificial Intelligence (Deep Learning) from the University of Cambridge, the UK in 2018. He has also been associated with several other institutions including Massachusetts Institute of Technology (MIT), Harvard University, National University of Singapore (NUS), INRIA Sophia Antipolis, France, University of Bonn, Germany, Simon Fraser University, Canada, Indian Institute of Science (IISc), Bangalore, India, and NIT Warangal, India. Singh has made several breakthrough contributions towards the areas of artificial intelligence and computer vision with over 50 international journal and conference publications. His research on 'Disguised Face Recognition' and 'Violent Activity Detection from Drones' gained international attention and was covered by several media houses including the BBC World News, London, NBC, USA, ABC Radio, Australia, Telegraph, UK, Discovery Channel, Canada, New Scientist, The cover of the Economist, Vice, Inc. etc.
Harsh Bhate
Harsh Bhate is a Research Engineer in the Advanced Software Applications team at Ford Motor Company. His role entails working on enabling cutting-edge AI/ML applications in the embedded domain. As part of his past experiences, Harsh has developed & deployed custom neural network based computer vision solutions on various edge platforms such as NVIDIA Tegra TX2. Harsh graduated with a Masters in Electrical & Computer Engineering from Georgia Institute of Technology (Georgia Tech) and was a visiting student in the Electrical Engineering & Computer Science Department at Massachusetts Institute of Technology (MIT). His interests include machine learning, embedded systems and computer vision.
Peter Padd
Peter Padd CEO/CTO. Peter brings the disciplined operational and entrepreneurial experience from Silicon Valley startups and senior management positions at Fortune 500’s and Government. He has done the hard work of bringing to life innovation. He has a background in mathematics, statistics and technology, MBA (Innovation) University of NSW, completed coursework in entrepreneurship and a H4D educator from Stanford GSB, Adjunct Professor in Defense Innovation at the University of Tasmania. Peter lives in Tasmania, Australia at the edge of the world where edge computing is what they do by default!
Malcolm Layton
Malcolm Layton is the Fortifyedge Chief Product Officer and brings his product and customer development expertise to the team to ensure mission/solution fit for our customers and end users. He holds an MBA (Innovation) University of NSW and holds multiple patents in advanced game design.
Sauptik Dhar
Sauptik Dhar is a Senior Staff Research Scientist (AI Lead) at Zeku USA. Prior to that he was the AI Technical Lead at LG SVL AI Team. There he was leading the fundamental research for on-device learning. The aim of that project was to understand the research landscape for on-device learning and the limitations of the existing approaches. An immediate outcome of this project helped identify the prospective use-cases and research challenges pertaining to edge learning. In addition, he also led the AutoML research on advanced Hyperparameter Optimization in collaboration with University of Toronto. Before LG, he was a Senior Research Scientist at Robert Bosch LLC, where he led the research effort on scalable machine learning and large scale HD Maps for autonomous driving. During this role he has worked and led several other use-cases in domains like, Healthcare, Thermotechnology, Manufacturing, Automotive etc.
Dr. Dhar received his PhD in Electrical and Computer Engineering from University of Minnesota, Twin Cities. He received his B.Tech from National Institute of Technology, Silchar in Electronics and Telecommunications. He is currently an Associate Editor for Neural Processing Letters, and has also served as a reviewer for several journals like, Neural Networks, Pattern Recognition, Neurocomputing, Plos One, IEEE Systems Man. and Cybernetics (B), IEEE TPAMI and others. He has also served as a PC member of the conferences like, KDD (2016-2020), ICMLA (2016-2020), SDM 2018, IJCNN 2019, NIPS 2016 and others, and actively publishes in the community.
Ravi Kokku
René Breyel
Passionate about the integration and practical application of disruptive technologies and their effects on society, René Breyel leads the company Claridion, through which he has advised many large companies such as Ericsson, Hydro-Québec, STM, Canada Post and others.
Having developed advanced skills in monitoring and management of critical technological environments, he now applies his expertise to the field of IoT (Internet of Things). By founding the AIoT Canada technology cluster, whose mission is to accelerate the adoption of IoT for AI at the national level, he now offers innovative companies the strategic and operational support they need to ensure the success of their digital transformation by the Internet of Things and Artificial Intelligence.
IoT Cybersecurity, the ethics of data, talent development and the access to territorial innovation infrastructures represent for him sensitive and very important subjects to address, especially in the multi-dimensional framework of AIoT (AI + IoT).
Juan Aparicio Ojea
Juan Aparicio is the VP of Product at READY Robotics. Prior to joining READY Robotics, he was the Head of Advanced Manufacturing Automation at Siemens Corporate Technology in Berkeley, CA. Juan has extensive experience managing complex projects, involving hardware and software; and bridging the technology gap between universities and businesses. His areas of interest include Advanced Manufacturing, Advanced Robotics, Connected Cars, Industry 4.0, and Cyber-Physical Systems. He is member of the Technical Advisory Committee for the Advanced Robotics in Manufacturing (ARM) Institute in the US and the Project Manager of the Open Process Automation Forum. His work has been featured at NYTimes, MIT Tech Review and Medium.
Modar Alaoui
Tushar Kant
Tushar Kant has more than 20 years Industry Experience across Silicon Valley & Wall Street at Amazon Web Services, VMware, Facebook, Intel Corp., Sun Microsystems, Bank of America Securities and GE Capital. He has worked in diverse fields spanning across Artificial Intelligence & Machine Learning, Cloud Computing, Semiconductors, Security etc in a wide range of roles, including Product Management, Engineering, Investment Banking and Venture Capital.
Tushar has BS in Electrical Engineering (IIT-India), MS in Computer Science (USA) and MBA (NYU Stern School of Business) where he was designated Stern Scholar and was a Member of Beta Gamma Sigma. He has publications in Artificial Intelligence, High-Performance Algorithms and Bankruptcy & Reorganization. He is Co-founder of Global IIT Artificial Intelligence & Machine Learning Forum and has spoken as guest speaker & in competitive events at MIT (USA), IIT Delhi and IIT Kanpur.
Ron Lev
Ron is an executive with 20 years of international experience in developing, executing, and operating strategic new business projects at best-in-class Telecom and Media companies. Ron is currently the GM of Cox Edge Services and is responsible for developing, incubating, and executing on the company’s Edge/Low Latency strategy, including solution and partnership development, investments, acquisitions, and market trials. Ron also serves as a Member of the Board of Directors at WTFast.
Brian Cruz
Matt Wickesberg
Carlton Sapp
Carlton Sapp is a Managing Vice President at Gartner. He provides guidance on edge intelligence, systems engineering, digital engineering, machine learning and IoT analytics. Dr. Sapp provides data-driven insights and design strategies based on more than 25 years of practical project experience and research.
Frédéric Desbiens
Frédéric Desbiens is working at the Eclipse Foundation as the program manager for IoT and Edge Computing. His job is to help the community innovate by bringing devices and software together. He is a strong supporter of open source. In the past, he worked as a product manager, solutions architect and developer for companies as diverse as Pivotal, Cisco and Oracle. Frédéric holds an MBA in electronic commerce, a BASc in Computer Science and a BEd, all from Université Laval.
Kilton Hopkins
Kilton started programming computers when he was 8 years old. He started a software company a few years later. The world is very different than it was back then, but Kilton is still bringing new technologies to life. Kilton is the co-founder and CTO of Edgeworx, a startup that provides enterprise-scale edge computing. He is the creator of the Eclipse ioFog open-source fog and edge computing technology. He is the former IoT advisor to the City of San Francisco and recently served as IoT program director for the Level program at Northeastern University. Kilton lives in Berkeley, California. He received his MBA from The University of Chicago Booth School of Business in 2010.
Jonathan Hou
Jonathan is President of Pleora Technologies, the world’s leading supplier of video interfaces for system manufacturers and camera companies serving the military, medical, and industrial automation sectors.
Jonathan is responsible for Pleora’s day-to-day operations, including the company’s expansion into embedded, AI, and machine learning solutions. Jonathan joined the company as CTO in 2018, and brings extensive experience from the quality inspection, machine vision, and sensor networking industries. He has a Bachelor of Applied Sciences in Computer Engineering from the University of Waterloo and a Master of Engineering from McGill University.
Sai Yamanoor
Rehan Hameed
Rehan Hameed received his PhD from Stanford University where he worked on energy efficient processor design and polymorphic multiprocessor architectures, and co-invented the Deep Vision architecture. In 2014 he co-founded Deep Vision and is now the CTO where he focuses on driving the company’s technological vision, including continuous evolution of the SW stack and silicon architecture. Previously he has worked on the design of multiple chips and algorithms for audio and vision processing.
Agenda at a glance
2020 Audience Breakdown
Partners
Gold Partners
Brainchip
Website: https://brainchipinc.com/miss-the-bus/
BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can help reduce the large carbon footprint of datacenters.
Flex Logix
Website: 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.
GrAI Matter Labs
Website: https://www.graimatterlabs.ai/
At GrAI Matter Labs, we developed a neuromorphic computing architecture for sensor analytics and machine learning, inspired by the biological brain. It enables real-time response for autonomous action. The unique combination of a Dataflow architecture and near memory compute exploits all forms of sparsity at the edge and can deliver autonomy at low power. It is fully programmable with standard frameworks and languages.
Intel
Website: https://www.intel.co.uk/content/www/uk/en/homepage.html
Please visit our website for more information.Event Partners
Mythic
Website: 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.
SynSense
Website: https://www.synsense-neuromorphic.com/
SynSense is a leading-edge neuromorphic computing company. It provides dedicated mixed-signal/fully digital neuromorphic processors which overcome the limitations of legacy von Neumann computers to provide an unprecedented combination of ultra-low power consumption and low-latency performance. SynSense is founded in March 2017 based on advances in neuromorphic computing hardware developed at the Institute of Neuroinformatics of the University of Zurich and ETH Zurich. SynSense is developing “full-stack” custom neuromorphic processors for a variety of artificial-intelligence (AI) edge-computing applications that require ultra-low-power and ultra-low-latency features, including autonomous robots, always-on co-processors for mobile and embedded devices, wearable health-care systems, security, IoT applications, and computing at the network edge.
Media Partners
IoT Global Network
Website: www.iotglobalnetwork.com
IoT Global Network
Discover the world of IoT.
IoT Global Network is the ultimate intelligence platform for the global machine-to-machine communication value chain.
IoT Global Network serves as an invaluable source of information for IoT decision makers in all areas of industry and public services, including consumer-related, energy, financial, industrial, healthcare, security and transportation, – and anyone else who would like to learn more about how the Internet of Things will shape tomorrow’s society.
Discover. Learn. Connect. Engage.
Edge IR
Website: http://www.edgeir.com
Edge Industry Review (EdgeIR.com) is a news, analysis and industry resource website documenting the changes taking place on the edge of the internet infrastructure market – the present and the future of the Edge Computing ecosystem.
HPCwire
Website: https://www.hpcwire.com/
HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed more than three decades of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in HPC, AI and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC community’s most reliable and trusted resource. Visit www.hpcwire.com.
Enterprise AI
Website: www.enterpriseai.news/
EnterpriseAI further sharpens and expands upon the already extensive coverage originating from its predecessor, EnterpriseTech, on machine/deep learning, advanced modeling/simulation, high performance data analytics and the technologies that enable them, including; high performance data centers, cloud computing, high performance storage, AI silicon and AI frameworks – spanning all relevant verticals. With its focus trained on decision-makers, technologists and thought leaders across the technology spectrum, EnterpriseAI delivers reporting, insight and analysis on AI technologies, tools and strategies that enable business deployment and integration in the enterprise. Visit EnterpriseAI.news
Robotics Tomorrow
RoboticsTomorrow.com is an Online Trade Magazine featuring Products, Companies, News, Articles and Events for the Industrial Automation, Robotics and Unmanned Vehicle industries.
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2021 Agenda At A Glance
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