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 (November 15-18, virtual event) unites the technologists from around the world 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.
2020 Audience Breakdown
Key Themes
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
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.
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
Rangan Sukumar is a data science/artificial intelligence architect. He is a Distinguished Technologist in the Chief Technology Office at Hewlett Packard Enterprise. Prior to that, he was a scientist and a Group Leader responsible for knowledge discovery/data science workflows on the world’s fastest supercomputers at Oak Ridge National Laboratory. He has a PhD in artificial intelligence and over 70 publications in areas of disparate data collection, organization, processing, integration, fusion, analysis and inference - applied to a wide variety of domains such as drug discovery, autonomous cars/robotics, education, social network analysis, electric grid modernization and public policy.
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.
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 at a stealth start-up company in Silicon Valley. 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
Vincent Huard
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.
Arun Ravisankar
Riccardo Badalone
Riccardo Badalone is a passionate and driven tech entrepreneur. For the last 20 years, he has led multi-disciplinary teams and built category-defining companies from the ground up. He is currently the CEO of C2RO in Montreal, which under his leadership has become a global provider of Privacy-Aware Video Analytics AI Software and one of the most trusted AI software companies in the world.
Prior to C2RO, Riccardo was a co-founder and CEO of Diablo Technologies. Over a period of 15 years, he and his team built a business that dominated the High-Performance Enterprise Memory/Storage space and delivered cutting-edge technology solutions to Fortune 500 companies across the US, Europe and China.
Riccardo is an active member of the Montreal Startup Ecosystem. As part of MentorConnect Montreal, Riccardo is helping companies by providing strategic guidance to improve culture, productivity and accelerate success.
Gaurav Singh
Gaurav leads the systems and perception team for the last 3 years working to bring Ridecell perception systems to automotive edge devices. He has 9 years of experience in autonomous vehicle development and in developing Advanced driver assistance systems. He has a Masters in robotics from Carnegie Mellon University.
Faustino Gomez
American by birth, Gallego at heart, Faustino’s career in AI started with a fascination for how the principles of natural selection could be harnessed to train neural networks for autonomous control tasks. Shortly after receiving his PhD in artificial intelligence from the University of Texas at Austin in 2003, Faustino joined the Swiss AI Lab, IDSIA, initially as a post-doctoral researcher and then senior researcher working with Dr. Juergen Schmidhuber. There he continued his pioneering work in evolutionary reinforcement learning to solve complex autonomous control problems and published more than 50 papers in the fields of neural networks, evolutionary computation, machine learning, and reinforcement learning. In the fall of 2014, he co-founded NNAISENSE with his IDSIA colleagues to develop and deploy large-scale neural network solutions for industrial inspection, modelling, and control.
Aneet Chopra
Aneet drives partner engagement, strategic account management and helps shape the forward-looking roadmap for XMOS.
He has extensive experience across the electronics industry. His career has centred around building and transforming organisations with world class capabilities for innovation, technology and service. He has worked across engineering, operations and sales, skilfully leading cross-functional teams from strategy to execution, latterly as General Manager, Compute Vision for Intel. He has played a key role in chip development and ecosystem transformation for the IoT. Aneet worked for Netboost during its acquisition by Intel and was involved in the Movidius acquisition, leading the integration into Intel. Aneet is a board advisor for Nimo Planet, an AR glasses company.
Aneet holds an honours degree from University of California, Davis and an MBA from Wharton School, University of Pennsylvania.
Christok Kolias
Christos Kolias is a Principal and an Orange Expert at Orange Silicon Valley. He is a co-founder of NFV and the ETSI group and had led the formation of the ONF's Wireless & Mobile working group of which he was its first chair. He has been a frequent speaker on NFV, SDN, Edge Computing, SD-WAN and IoT. Christos holds a PhD in computer science from UCLA where he studied under Prof. L. Kleinrock.
Wajahat Qadeer
Wajahat Qadeer received his PhD from Stanford University where he did seminal work on energy efficient processor design culminating in the design of ACM recognized Convolution Engine Architecture. He co-founded Deep Vision in 2014 where he is the Chief Architect. He drives the architecture of DeepVision's industry proven software stack and silicon. Prior to DeepVision, he played key roles in the design of two highly innovative and class leading chips. One of the chips won a design award at the Design Automation Conference.
Dimitri Kusnezov
Dr. Dmitri Kusnezov received A.B. degrees in Physics and in Pure Mathematics with highest honors from UC Berkeley. Following a year of research at the Institut fur Kernphysik, KFA-Julich, in Germany, he attended Princeton University earning his MS in Physics and Ph.D. in Theoretical Nuclear Physics. At Michigan State University, he conducted postdoctoral research and then became an instructor.
In 1991, he joined the faculty of Yale University as an assistant professor in physics, becoming an associate professor in 1996. He has served as a visiting professor at numerous universities around the world. Dr. Kusnezov has published over 100 articles and a book.
He joined federal service at the National Nuclear Security Administration in late 2001 and is a member of the Senior Executive Service and is also a Visiting Researcher at Yale. He currently serves as Deputy Under Secretary for A.I. and Technology.
Catherine Schuman
Catherine (Katie) Schuman is a research scientist at Oak Ridge National Laboratory (ORNL). She received her Ph.D. in Computer Science from the University of Tennessee, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing at ORNL. Katie has a joint faculty appointment with the Department of Electrical Engineering and Computer Science at the University of Tennessee, where she co-leads the TENNLab neuromorphic research group. Katie has over 45 publications as well as six patents in the field of neuromorphic computing. Katie received the U.S. Department of Energy Early Career Award in 2019.
Sumeet Kumar
Dr. Sumeet Kumar is CEO of Innatera Nanosystems, the pioneering Dutch neuromorphic processor company. Dr. Kumar holds an MSc and PhD in Microelectronics from the Delft University of Technology, The Netherlands. He was previously with Intel, where he worked with the Imaging and Camera Technologies Group developing domain-specific tools for the development of complex media processor architectures. At Delft, Dr. Kumar is credited with creating two highly-successful European R&D programmes developing energy-efficient compute hardware for highly automated vehicles, together with organizations including Infineon, NXP, and BMW, among others. He was also responsible for leading industry-focused research on power-efficient multiprocessors and computational neuroscience.
Arun Ravisankar
Bryan Maldonado
Brian C. Kaul, Ph.D
Pushpak Pujari
Fay Arjomandi
Moshe Mishali
Srinivas Chitiveli
Srinivas Chitiveli, is a Product Executive at Mavenir responsible for defining strategies and developing products that deliver AI solutions to enterprises and Telecom service providers. Specialized in the science of deep learning and machine learning, Srinivas has applied trained models to derive insights from IoT devices and unstructured sources like images, videos, text & speech. With over 25 years of varied experiences, he is an author of books & blogs, an inventor with patented ideas and active at exploring innovative approaches that accelerate AI journeys for Enterprises.
Shashi Chilappagari
Shashi Chilappagari is the Co-Founder and Chief Architect at DeGirum Corp., a fabless semiconductor company building complete AI solutions for the edge. Prior to DeGirum, he was the Director of SSD Architecture at Marvell Semiconductor Inc. Shashi has B. Tech and M. Tech degrees from Indian Institute of Technology, Madras, India and Ph.D. from the University of Arizona, Tucson, Arizona.
Neil Trevett
Neil is VP Developer Ecosystem at NVIDIA, where he helps to drive and develop the developer ecosystem that enables applications to take advantage of advanced GPU and silicon acceleration. Neil is also the elected President of the Khronos Group, where he initiated the OpenGL ES standard now used by billions worldwide every day, helped catalyze the WebGL project to bring interactive 3D graphics to the Web, chairs the OpenCL working group defining the open standard for heterogeneous parallel computation, and helped establish and launch the new-generation Vulkan API.
Andrew Stanford-Jason
Andrew is Senior Technologist at XMOS. He is involved with all aspects of technology development of XMOS’ xcore processor, driving new innovations to deliver on the challenges of a rapidly evolving market. With previous experience working with both adaptive algorithms and compilers, Andrew has a broad understanding of the requirements of a machine learning platform, from development to deployment. He is currently working on the co-development of the silicon architecture and machine learning tools for XMOS.
Barrie Mullins
Barrie has 25+ years of experience working with edge, embedded and AI systems across multiple industries including industrial, automotive, robotics, storage, communications. Previously at NVIDIA, he led the Jetson Product Marketing team for almost 3 years. Prior to NVIDIA he held multiple roles in Xilinx, including leading product marketing and management for the Zynq product line, sales enablement, business development, customer program management and managing design services. Barrie moved to the United States in 2007 from Ireland. In Ireland, Barrie worked for Xilinx and 2 starts ups, Raidtec Corp. and Eurologic Systems, in the Data Storage space. Barrie received his EE from the Munster Technological University, an ME from University College Dublin and an MBA from Santa Clara University’s Leavey School of Business.
Yonatan Geifman
Dr. Yonatan Geifman is a Co-Founder and CEO at Deci, which enables deep learning inference at scale on any hardware by an algorithmic acceleration approach. Deci has been recognized as Tech Innovator for Edge AI by Gartner and included in CB Insights’ AI 100 list. Its proprietary technology’s performance set new records at MLPerf with Intel. Before launching Deci, Yonatan was a member of Google AI’s MorphNet team. He received his PhD in Computer Science at the Technion-Israel Institute of Technology. His research focused on making Deep Neural Networks (DNNs) more applicable for mission-critical tasks. It has been published and presented at leading global conferences including the Conference on Neural Information Processing Systems (NeurIPS) and International Conference on Machine Learning (ICML).
Dror Meiri
Visionary, results oriented business development, product marketing and strategy executive with proven experience in creating value and achieving growth of technology based companies. Leading business innovation and growth through creative and out-of-the-box approach, turning opportunities into profitable business.
Areas of interest include (but not limited to): Self Driving Cars, Autonomous Vehicles, Automotive, Smart Devices and Machines, Wireless, Connectivity, Sensors, Industry 4.0, Artificial Intelligence.
Thierry Tambe
Thierry Tambe is a 4th year Electrical Engineering PhD candidate at Harvard University. His current research interests focus on designing energy-efficient and high-performance algorithms, hardware accelerators, and system-on-chips for machine learning and natural language processing in particular. He also bears a keen interest in agile SoC design methodologies.
Prior to debuting his doctoral studies, Thierry was an engineer at Intel in Hillsboro, Oregon where he designed various analog/mixed-signal architectures for high-bandwidth memory and peripheral interfaces on Xeon and Xeon-Phi HPC SoCs. Thierry is a 2021 NVIDIA PhD Graduate Fellow.
Russell Klein
Russell Klein is a Program Director at Siemens EDA’s (formerly Mentor Graphics) High-Level Synthesis Division focused on processor platforms. He is currently working on algorithm acceleration through the offloading of complex algorithms running as software on embedded CPUs into hardware accelerators using High-Level Synthesis. He has been with Mentor for over 25 years, holding a variety of engineering, marketing and management positions, primarily focused on the boundary between hardware and software. He holds six patents in the area of hardware/software verification and optimization. Prior to joining Mentor he worked for Synopsys, Logic Modeling, and Fairchild Semiconductor.
Mike Davies
Mike Davies is Director of Intel’s Neuromorphic Computing Lab. Since joining Intel Labs in 2014, Mike has researched neuromorphic prototype architectures, algorithms, software, and systems. His group is responsible for Intel’s Loihi research chip. Previously, as a founding employee of Fulcrum Microsystems and its director of silicon engineering, Mike pioneered high performance asynchronous design methodologies as applied to several generations of industry-leading Ethernet switch products. He joined Intel in 2011 by Intel’s acquisition of Fulcrum.
Arun Rajasekaran
Manuel Botija
Selçuk Sandıkcı
Mehrdad Khatami
Kosta Sidopoulos
Jason Viehland
David Steele
Ali Ors
Hemant Mane
Amir Zjajo
Ravi Annavajjhala
Jerome Schang
Partners
Gold Partners
Blaize
Website: https://www.blaize.com/
Blaize leads Edge AI computing, offering a transformative architecture for hardware and software advancing AI solutions for automotive, industrial, smart metro, smart retail and security markets. By innovating advances in energy efficiency, flexibility, and usability, Blaize enables developers to innovate new classes of products to bring the benefits of AI and machine learning to a broad range of use cases.
The Blaize Graph Streaming Processor (GSP) architecture enables new levels of processing power at low power with high performance ideal for AI inferencing workloads in edge-based applications. The GSP architecture represents a fundamental way to change how we compute the intense workloads of the future.
Blaize AI Studio software transforms productivity of the complete AI edge application lifecycle from idea through development, deployment, and management. The industry’s first code-free, end-to-end open software platform for the entire AI edge application lifecycle, AI Studio breaks the current application development and MLOps barriers to the adoption of AI edge technology.
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.
Deci AI
Website: http://www.deci.ai/
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning development platform, AI developers can easily build, optimize, and deploy highly accurate and efficient models to any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products.
Founded by Dr. Yonatan Geifman, Professor Ran El-Yaniv and Jonathan Elial, Deci’s team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle. Leading enterprises and industry leaders are using Deci to boost their deep learning models’ performance, shorten development cycles and reduce computing costs.
Deep-AI
Website: https://deep-aitech.com/
Deep-AI is a deep tech company with unique expertise in AI training. We have developed a game changing technology - training neural networks utilizing only INT8 operations and with no loss of accuracy.
The use of 8-bit integer operands for multiplication yields significantly lower silicon area, energy consumption, memory bandwidth and on-chip routing compared with floating-point math, which is today's standard for training on data-center GPUs. With this key differentiating technology, we provide the only integrated training and inference solution for the edge, i.e. training directly on the edge device without going back and forth to the cloud. Edge training completes the missing piece for a standalone intelligent edge solution, delivering key advantages such as security, privacy, autonomy, reliability, low latency, scalability, data locality and personalization. The company was founded in 2017 by repeat entrepreneurs with proven execution and is currently with 23 employees.
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.
Dolphin Design
Website: https://www.dolphin-design.fr/
Please visit our website for more information.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.com/content/www/us/en/artificial-intelligence/overview.html
Please visit our website for more information.Siemens
Website: https://www.siemens.com/global/en.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.
XMOS
Website: https://www.xmos.ai/
XMOS is a deep tech company at the leading edge of the artificial intelligence of things (AIoT).
Since its inception in 2005, XMOS has had its finger on the pulse - recognising and addressing the evolving market need for flexible compute to serve an ever-widening range of applications including voice, imaging and ambient sensing. The company’s uniquely flexible xcore processors put intelligence, connectivity, and enhanced computation at the core of smart products, enabling product designers to architect system-on-chip solutions purely in software. XMOS enables customers to get to market faster with differentiated systems that are cost-effective and energy efficient.
Applied Brain Research
Website: https://appliedbrainresearch.com/
Please visit our website for more information.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.
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.
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.
Edge Computing Association
Website: https://edgecomputingassociation.com/
Please visit our website for more information.Datafloq
Website: https://datafloq.com/
Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.
Emerj
Website: 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.
AI Magazine
Website: https://aimagazine.com/
AI Magazine connects your brand with the world’s leading executives in the fields of AI strategy, machine learning and digitally disruptive technologies – thought leaders and innovators driving this pioneering sector.
Connect-World
Website: http://www.connect-world.com/
The Connect-World magazines are a forum for the highest-level ICT decision makers, to discuss the impact of ICT upon regional development. The magazines provide ‘Thought-leadership” for ICT decision makers, helping them to understand the trends in the industry.
Connect-World publishes editions with different content for Africa and The Middle East, Asia-Pacific, Europe, Global, Latin America and North America.
Khronos Group
Website: https://www.khronos.org/
The Khronos Group is an open, non-profit, member-driven consortium of over 150 industry-leading companies creating advanced, royalty-free interoperability standards for 3D graphics, augmented and virtual reality, parallel programming, vision acceleration and machine learning. Khronos standards include Vulkan®, Vulkan® SC, OpenGL®, OpenGL® ES, OpenGL® SC, WebGL™, SPIR-V™, OpenCL™, SYCL™, OpenVX™, NNEF™, OpenXR™, 3D Commerce™, ANARI™, and glTF™. Khronos members are enabled to contribute to the development of Khronos specifications, are empowered to vote at various stages before public deployment and are able to accelerate the delivery of their cutting-edge accelerated platforms and applications through early access to specification drafts and conformance tests.
Wire19
Website: https://cutt.ly/VRHx5OM
Wire19 is a leading news portal dedicated to the digital transformation, brought about by cloud and advanced technologies like Artificial Intelligence, IoT and more, driving innovation in different industry verticals, including ICT, healthcare, retail, managed services etc.
Wire19 is the IT magazine for key decision makers, services providers and managed service providers in the cloud business.
The content of Wire19 is regularly updated with the latest industry news and innovations built around AI, IoT, Robotics and other modern age technologies.
Tryolabs
Website: https://tryolabs.com/
Tryolabs machine learning consulting teams excel at helping companies improve their KPIs by leveraging their own data. They combine computer vision and natural language processing skills, ability to build forecasting models and full-stack development capabilities to craft solutions that can improve revenue streams and reduce operational costs.
Tryolabs also engages and gives back to the community as much as possible. Some of their efforts include open-source projects, machine learning talks and workshops around the globe, meetups, event listings, and a blog.
Enquire About Sponsorship
Interesting in partnership with Edge AI Summit? Get in touch with Ellis Fordham to learn about the opportunities available to you.
T: +44 (0)20 3696 9536
Testimonials
CALL FOR PRESS
If you're interested in becoming a media partner, or would like to receive a media pass to the event, please contact Lucy Bale: [email protected]
2021 Agenda At A Glance
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Download the 2021 Agenda
Become a Partner
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].
Conference Packages
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In the event that Kisaco Research postpones an event for any reason or changes the event format to ‘virtual event’, any in-person registrations for this event will be automatically transferred to the virtual registration package. The delegate will receive a credit note for the difference in ticket value from the fee paid. You may use this credit for another Kisaco Research event to be mutually agreed with Kisaco Research, which must occur within 12 months from the date of the event which the delegate had originally registered for.
Returning Safely Measures
Whether sponsors, speakers or attendees, our customers attend Kisaco Research events to connect, learn and innovate to know more and do business. It is our commitment that as we return to in-person events, they can do this effectively, safely and with confidence.
All in-person Kisaco Research events will prioritize the health and safety of colleagues and customers and, in the first instance, will be run in accordance with official government and local authority guidance, as well as any venue or location-specific regulations.
Kisaco Research is committed to following the Association of Event Organisers All Secure Standard, which has been approved by by UK Government.
About Kisaco Research
Kisaco Research produces, designs and hosts B2B industry conferences, exhibitions and communities – focused on a specialized selection of topic areas.
Meet industry peers that will help build a career-changing network for life.
Learn from the mistakes of your peers as much as their successes—ambitious industry stalwarts who are happy to share not just what has made them successful so far but also their plans for future proofing their companies.
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