The Agenda
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The Speakers
Andrew Feldman
Andrew Feldman is co-founder and CEO of Cerebras Systems. He is an entrepreneur dedicated to pushing boundaries in the compute space. Prior to Cerebras, he co-founded and was CEO of SeaMicro, a pioneer of energy-efficient, high-bandwidth microservers. SeaMicro was acquired by AMD in 2012 for $357M. Before SeaMicro, Andrew was the Vice President of Product Management, Marketing and BD at Force10 Networks which was later sold to Dell Computing for $800M. Prior to Force10 Networks, Andrew was the Vice President of Marketing and Corporate Development at RiverStone Networks from the company’s inception through IPO in 2001. Andrew holds a BA and an MBA from Stanford University.
Chris Nicol
Chris is the Chief Technology Officer of Wave Computing and the lead architect of the DPU architecture incorporated into Wave’s Deep Learning Computer. In addition to his duties as CTO, Chris leads the systems team developing products, the runtime software environment and benchmarking applications using deep learning frameworks.
Prior to Wave, Chris was Chief Technology Officer, Embedded Systems at NICTA, an Australian ICT R&D organization he helped to establish, where he supported over 20 R&D projects across 5 labs in hardware and software development for intelligent, secure, robust and power efficient embedded systems. Prior to NICTA, he founded Bell Labs Research in Australia and Agere Systems in Australia and he worked for AT&T Bell Labs, New Jersey.
He received the PhD degree from the University of New South Wales and the MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents. He has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.
Dr. Kai Yu
Dr. Kai YU is founder & CEO of Horizon Robotics Inc., dedicated to revolutionizing AI processors and solutions for autonomous systems. He is an internationally recognized expert in deep learning and general AI, a member of National Council of Next-Generation AI Strategy Planning, by Ministry of Science and Technology of China, a prestigious group of technology leaders of the country, the deputy secretary general of Chinese Association for Artificial Intelligence (CAAI) .
Before founding Horizon Robotics in July 2015, he was Deputy Head of Baidu Research. He founded Baidu Institute of Deep Learning (IDL) in January 2013, the first AI lab in China industry, and he is known as the founder of Baidu autonomous driving project. The teams led by Dr. Yu have won three Baidu Highest Achievement Awards for three times. Prior to joining Baidu, he took various key R&D roles in Germany and U.S.A. for 12 years, i.e., Senior Research Scientist at Neural Computation Department Siemens Corporate Technology, Head of Media Analytics Department of NEC Labs America, Adjunct Faculty at Computer Science Department of Stanford University.
Dr. Yu has received many awards, including No.1 place of ImageNet Challenge 2010，No.1 place of PASCAL VOC 2009，and Best Paper Runner-up Award of ICML-2013. He also published dozens of research papers with a very high number of citations (more than 15,000). Dr. Yu has been the previous Area Chair of the International Conference on Machine Learning (ICML) and Conference on Neural Information Processing Systems (NIPS). In 2011, he taught a class “CS121: Introduction to AI” in Stanford University.
He received his B.Sc and M.Sc in E&E from Nanjing University, China, and Ph.D in Computer Science at University of Munich, Germany.
Thomas Andersen
Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.
Victoria Rege
Victoria has over a decade of experience in the semiconductor space. She currently heads up Strategic Partnerships at Graphcore, working with key customers and leading Research & Universities AI engagements. Previously she held several leadership positions at NVIDIA from global alliances, product marketing and campaigns to the founding of the GPU Technology Conference. Prior to joining NVIDIA, Victoria worked in the hedge fund space, as Executive Director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is Immersive Chair for the SIGGRAPH 2019 Conference. She's also an active member of the Consumer Technology Association's AI Working Group.
Yi Shan
Yi Shan was Co-Founder & CTO of DeePhi, where he took charge of all the engineering management and product definition, before DeePhi was acquired by Xilinx in 2018. He is now Senior Director, AI at Xilinx.
He has worked on FPGA and ASIC design for machine learning applications for more than 10 years, at companies such as Horizon Robotics and Baidu.
His paper published in FPGA2010, on machine learning acceleration with FPGAs, has been cited by more than 300 times.
Eitan Medina
Prior to Habana, Eitan Medina was the VP and GM of the Fingerprint Business Unit at TDK-InvenSense. Prior to the TDK acquisition he was VP of Marketing at InvenSense and VP of Engineering at Audience Inc. (acquired by Knowles).
Naveen Rao
Naveen Rao is corporate vice president and general manager of the Artificial Intelligence Products Group at Intel Corporation.
Trained as both a computer architect and neuroscientist, Dr. Rao joined Intel in 2016 with the acquisition of Nervana Systems. As chief executive officer and co-founder of Nervana, he led the company to become a recognized leader in the deep learning field. Before founding Nervana in 2014, Rao was a neuromorphic machines researcher at Qualcomm Inc., where he focused on neural computation and learning in artificial systems. Rao’s earlier career included engineering roles at Kealia Inc., CALY Networks and Sun Microsystems Inc.
Rao earned a bachelor’s degree in electrical engineering and computer science from Duke University, then spent a decade as a computer architect before going on to earn a Ph.D. in computational neuroscience from Brown University
Yankin Tanurhan
Dr. Yankin Tanurhan is Vice President of Engineering for DesignWare Processor Cores, IP Subsystems and Non-Volatile Memory, Security and SoC Design at Synopsys. He leads the low power and high performance ARC and EV embedded Processor developments targeted from Mobile, IoT, Embedded Vision, Digital Home, Automotive/Industrial, Security to Storage markets, ASIP tool development with products like ASIP Designer and Programmer, IP Subsystems products like Sensor Fusion, Audio, Vision and Security Subsystems and CMOS based Non Volatile IP development. Before joining Synopsys, Dr. Tanurhan was Vice President and General Manager of Virage Logic's Processors, SoC Infrastructure and NVM Solutions business units. Virage Logic was acquired by Synopsys in September 2010. Prior to this, Dr. Tanurhan served as Vice President of Actel's Advanced Applications and System Solutions, where he lead Actel's new architecture design, IP and MPU business units, system and hardware tools and product validation departments. He was also responsible for leading Actel's embedded FPGA, embedded processor and DSP activities.
Previously in his research career he served as the director of the department of electronic systems and microsystems of FZI (Forschungszentrum Informatik) a German contract research institute attached to the University of Karlsruhe. Dr. Tanurhan has authored more than 100 papers in refereed publications. He holds a B.S. and M.S. in Electrical and Computer Engineering from Rheinisch Westfaellische Technische Hochschule (RWTH) in Aachen, Germany and a Dr. Ing. degree summa cum laude in Electrical Engineering from the University of Karlsruhe (TH) in Karlsruhe, Germany.
Kunle Olukotun
Kunle Olukotun is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data Analytics for What’s Next (DAWN) research program.
In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems has developed a disruptive next-generation computing platform to power machine learning and data analytics.
Sarah Guo
Richard Terrill
Alexandra Wright-Gladstein
Handol Kim
Gordon Hirsch-Wilson
Gordon is a co-founder and the CEO of Rain Neuromorphics, an AI startup developing neuromorphic hardware - physical chips that that can operate faster and with far less power than current implementations of software-based neural networks. Through biologically inspired architectures and algorithms, RAIN Neuromorphics envisions a future where all devices are independently intelligent.
Reza Zadeh
Reza Bosagh Zadeh is Founder CEO at Matroid and an Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks. As part of his research, Reza built the Machine Learning Algorithms behind Twitter's who-to-follow system, the first product to use Machine Learning at Twitter. Through Apache Spark, Reza's work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhD-level classes at Stanford: Distributed Algorithms and Optimization (CME 323), and Discrete Mathematics and Algorithms (CME 305).
Cliff Young
Emily Watkins
Yangqing Jia
Yangqing is a Research scientist director at Facebook, where he leads a team of talented researchers and engineers to build the general-purpose, large-scale AI platform for all Facebook's applications. The system serves as the backbone of Facebook AI products, such as ranking, computer vision, natural language processing, speech recognition, mobile AI, and AR.
Prior to Facebook, he was a research scientist at Google Brain, where he worked on computer vision, deep learning, and the TensorFlow framework.
He obtained his Ph.D. in Computer Science at UC Berkeley and bachelor and master degrees from Tsinghua University, China.
In recent years, Yangqing has been an active figure in AI software stack designs: He is the creator of Caffe, a BVLC-maintained, open-source deep learning framework.
Liam Madden
Liam Madden is Senior Vice President of Hardware and Systems Product Development at Xilinx. He leads a global team of about 1,000 engineers and oversees the strategy, design solutions, priorities and execution specific to the growth of all Xilinx Hardware and System solutions, including silicon, packaging, evaluation systems and embedded software. Madden led the development of the highly successful 28nm, 20nm and 16nm programmable families. He was responsible for the introduction of stacking technology at 28nm, leading the industry in integrating multiple devices on a silicon interposer for which he received the 2013 Semi Award. He is responsible for integrating Gb/s data converters into Xilinx products as part of the RFSOC product line aimed at revolutionizing 5G radio solutions and related products.
Madden is a nine year veteran of Xilinx. In over a 35 year career he contributed to a range of industry leading products, including: high performance and low power microprocessors (Alpha and StrongArm at DEC), embedded processors and IP (MIPS) and consumer devices (Xbox 360 at Microsoft).
Prior to joining Xilinx, he was a Senior Fellow at AMD where he drove AMD’s next generation chip integration methodology.
Madden holds a BE degree from UCD, an M.Eng. degree from Cornell University. He is an Adjunct Professor at UCD, a Fellow of the Institute of Engineers Ireland and a Board Member of Science Foundation Ireland.
Tapabrata Ghosh
Ian Bratt
Ian Bratt is a Distinguished Engineer at Arm, where he leads the Machine Learning Technology group. Previously, Ian worked as an architect on several generations of Arm Mali GPUs, during a high-growth period which culminated in Arm partners shipping over 1B Mali GPUs in 2016. Prior to Arm, Ian worked at the pioneering multicore startup, Tilera. Ian has worked on CPUs, GPUs, memory systems and SoC architecture. He holds an S.M. from MIT and has 23 granted US patents.
Sumit Gupta
Junli Gu
Karl Freund
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Cade Metz
Cade Metz is a reporter with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Genius Makers is his first book. Previously, he was a senior staff writer with Wired magazine and the U.S. editor of The Register, one of Britain’s leading science and technology news sites.
A native of North Carolina and a graduate of Duke University, Metz, 48, works in The New York Times’ San Francisco bureau and lives across the bay with his wife Taylor and two daughters.
Larry Chao
Rashmi Gopinath
Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.
Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.
Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.
Michael P. Stewart, Ph.D.
Michael P. Stewart, Ph.D. is a 15-year veteran of Silicon Valley, working for more than a decade in advanced technology development at Applied Materials and Intel Research, after moving to Applied Ventures, the corporate venture capital fund of Applied Materials.
Michael leads the investment thesis in AI hardware for Applied Ventures, as well as leveraging his experience in advanced materials, chemicals, and other “whitespace” investments to drive growth in markets beyond core semiconductor technology. Michael serves as board observer for several Applied Ventures portfolio companies, and his most recent investment was with Electroninks, an innovative developer of high performance metallization inks for display and printed electronics technology.
Prior to joining Applied Ventures, Dr. Stewart was co-founder of JUSE LLC, a consumer electronics focused startup, and the inventor of the low cost CRAFT Cell for silicon photovoltaics. He has developed high volume manufacturing products for crystalline Si solar and semiconductor device fabrication. He is an expert in silicon materials science, surface chemistry, and post-CMOS electronics, as well as chemicals and materials for electronics and biotechnology applications.
Dr Stewart holds a PhD in Chemistry from Purdue University and an MBA from the University of California at Berkeley (Haas School of Business), and is listed as an inventor on over 40 US and world patent publications.
Mohammad Rastegari
Ian Buck
Ian Buck is vice president of NVIDIA's Accelerated Computing business unit, which includes all hardware and software product lines, third-party enablement, and marketing activities for GPU computing.
Buck joined NVIDIA in 2004 and created CUDA, which remains the established leading platform for accelerated-based parallel computing. Before joining NVIDIA, he was the development lead on Brook, which was the forerunner to generalized computing on GPUs.
Buck holds a Ph.D. in computer science from Stanford University and Bachelor of Science in computer science from Princeton University.
Mike Henry
Brett Simpson
Brett is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.
Lin Yang
Dr. Lin Yang received his bachelor's degree in Electronics and Communication Engineering from Tsinghua University and his PhD in Electronics Engineering at UC Berkeley. His areas of research include image processing, neural network, image recognition, and deep learning processor. Dr. Yang played a crucial role in inventing Cellular Neural Network (CNN) in 1988, and China's digital video broadcasting terrestrial (DVB-T2) standard in 2005. He received multiple patents and awards in both China and the U.S., including IEEE Best Paper Award in 1988, China National Invention Award in 2005, and China National Patent Award in 2015. Dr. Yang was also a tenured professor at Tsinghua, Fudan and other top universities in China.
Jennifer Myers
Jennifer Myers is a Senior Director of Engineering at Intel. She leads teams optimizing Deep Learning frameworks for Intel CPUs, as well as the teams developing the nGraph Deep Learning compiler. nGraph is an Open Source project aiming to optimize both training and inference across a wide variety of frameworks, topologies and backends (CPU, GPU, FPGA, DL accelerators). Jennifer joined Intel as part of the Nervana Systems acquisition in 2016. Prior to this, she had a 20+ year career in technical leadership positions across a variety of startups and Sun Microsystems, innovating in search and ads systems and relevance, email, secure network storage, video compression and streaming and network security. She was introduced to Deep Learning in a graduate course on Parallel and Distributed Processing her freshman year at Carnegie Mellon University, and holds a Ph.D. from Northwestern University in Neuroscience, where her thesis was in neural network modeling of human arm movement.
Marc Tremblay
Marc Tremblay, Ph.D.: Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.
Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.
Ziad Asghar
Ziad Asghar is Vice President, Product Management at Qualcomm Technologies, Inc (QTI). He leads Snapdragon roadmap planning and Application processor technologies, covering all QC product lines. Ziad drives the definition of the products ensuring that our products lead in technology and enable best in class user experiences while making tradeoffs between features, power, performance and cost. He also leads Application Processor technologies including Artificial Intelligence, Camera, Graphics, CPU, Audio, Video and Security. He also has responsibility for Competitive Analysis. Ziad works across all teams including engineering and product management to ensure that we have the leading roadmap in the industry and continue to set the standard on all application processor technologies. He works across all business units including Mobile, Automotive, Compute, XR, Edge Cloud and IoT.
He has more than 20 years of experience in the wireless semiconductor industry where he has held a broad set of leadership positions from R&D to product management. Prior to joining Qualcomm, Ziad was at Texas Instruments where he worked on systems design of UMTS & LTE and OMAP Product Management.
Ziad holds an MBA from UCSD and master’s degrees in electrical engineering from Purdue University and Southern Methodist University.
Patrick Soheili
Why Attend
The AI Hardware Summit is the first and only conference dedicated solely to the ecosystem developing hardware accelerators for neural networks and computer vision.
Join 250+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.
Take advantage of unique networking opportunities to meet key industry leaders 1-2-1, whilst also exploring:
- Innovations and Optimizations of High-Performance Chip Architectures: GPUs, ASICs & TPUs, FPGAs…
- Alternative Approaches: hybrid digital/analog computing, neuromorphics & neuromemristive systems, quantum computing.
- The Role of Software: assistance software, software frameworks, ecosystems, and applications. Generating user-friendly native code and linking open source machine learning frameworks like TensorFlow & Caffe.
- Industry Developments: Start-up & Corporate R&D, Venture Capital and Corporate Venture Capital investment trends, strategic acquisitions & partnerships.
Forecasts predict that the AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025 (Business Wire, 2018), the chip market is no longer standing still. As we approach a paradigm shift in computing, there is little doubt that a combination of the processing units currently in development will accelerate AI research and development, far beyond the capabilities of current platforms. There is need for sharing knowledge on the best way to turn this shift into an opportunity and roadmap the future ahead.
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Who Will Be There
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Kisaco Audience Breakdown ChartSemiconductor Companies15%
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Kisaco Audience Breakdown ChartData Centers15%
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Kisaco Audience Breakdown ChartSystems Vendors/OEMs15%
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Kisaco Audience Breakdown ChartAI Chip Start-Ups10%
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Kisaco Audience Breakdown ChartEnterprise10%
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Kisaco Audience Breakdown ChartVCs10%
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Kisaco Audience Breakdown ChartFinancial Services10%
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Kisaco Audience Breakdown ChartConsultants & Service Providers5%
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Kisaco Audience Breakdown ChartSystem IP Companies10%
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Semiconductor Companies15%
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Data Centers15%
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Systems Vendors/OEMs15%
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AI Chip Start-Ups10%
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Enterprise10%
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VCs10%
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Financial Services10%
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Consultants & Service Providers5%
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System IP Companies10%
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Venue
Computer History Museum,1401 N Shoreline Blvd. Mountain View, CA 94043
We're very excited to launch the AI Hardware Summit in 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)
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