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 200+ 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.
WHO WILL BE THERE
Meet 200+ Senior Technology Leaders in:
Corporate Leadership & Strategy.
Start-up Founders, CEOs & CTOs.
VPs, Senior Directors, Principals and Chiefs: Data Science, Hardware and Systems Architecture, Engineering & Integration,
Data Center Infrastructure.Heads, VPs & Senior Management: Applied Machine Learning, Deep Learning, Artificial Intelligence, Neural Networks,
Autonomy, Computer Vision.Financial Analysis, Portfolio Management.
Corporate and Financial Venture Capital.
…all attendees will be within the following categories: Semi-conductor companies, Data centers, Systems Vendors/OEMs, AI Chip Start-Ups, Enterprise, System IP Companies, VCs, Financial Services or Consultants & Service Providers
Past attendees include:
Testimonials
The Speakers
Lingjie Xu
Lingjie Xu is a director of Alibaba Cloud and he is in charge of heterogeneous computing infrastructure, including GPUs and AI ASICs. His team is currently focusing on applied AI architecture and SW/HW interplay. On September 2018, he launched AI Matrix benchmark suite for deep learning. Before joining Alibaba, he held various senior management and architect roles in NVIDIA, AMD and Samsung.
Jian Ouyang
Jian Ouyang is the principal architect for Baidu’s Kunlun chip team and leads the data center architecture team. Currently, he is looking for non-traditional architecture and systems for big data and AI applications in the post-Moore’s law era. He has authored or co-authored several papers on various conferences, such as ASPLOS2014, Hotchips2014, EuroSys2014, etc.
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.
Zhang Li
Vice President of Canaan Creative. Ms. Zhang Li obtained her Master of Engineering degree from Tsinghua University, with a CPA certificate. Ms. Zhang Li has worked for PricewaterhouseCoopers (PWC) and Guotai Junan Securities M&A Department. She has led several overseas listing projects and has served more than 10 A-share listed companies in the internet and service sectors. Since 2014, she has been the vice president and secretary of the board of Hangzhou Shunwang Technology, the leading Internet entertainment platform company in China, responsible for the company's strategic planning, mergers and acquisitions and investment. During her tenure, Ms. Zhang Li led the investment in the domestic outstanding film and television entertainment company Ciwen Media, mixed ownership of the first single China Telecom's love game base, Donews, iKuai wifi. In addition, she led the acquisition of the light casual game platform 91y, the world's largest game show Chinajoy and China’s leading security platform Guo Rui Xin An.
In 2018, Ms. Zhangl Li established Canaan Creative’s investment team and an international legal team, led the AI business from scratch, and promoted the company to further deepen the edge of AI.
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.
Jeffrey Liao
Jeffrey Liao currently serves as the Head of AI Laboratory in Synopsys. He has over 20 years of IC design industry experience in IP designs/SOC design/verification, software/hardware co-design and technical marketing in AI and other technologies. Jeffrey Liao received a Bachelor degree in Computer Science from National Tsing Hua University and a Master degree in Electrical Engineering from National Taiwan University.
Dr Ouyang Peng
Dr.Peng Ouyang received Ph.D from Tsinghua University in 2014. From 2014-2018, he held a post-doctoral position in Tsinghua University and worked as assistant professor. He has more than ten years of architecture research experiences and the interests include reconfigurable computing, neural computing etc., He is the designer of ¡°THINKER¡± series artificial intelligence chip. In 2018, He found the company called ¡°TsingMicro¡± with the mission to enable the ¡°THINKER¡± in any edge devices. Dr. Ouyang has published more than 55 journal and conference papers., including top journals like JSSC/TC/TCAD/TCAS-I and top conference like DAC/VLSI/CICC/DATE.
Yong Hua Lin
Yonghua Lin is Director of IBM Research China. Meanwhile, she is IBM Distinguished Engineer leading the AI System and Computer Vision research, and member of IBM Academy of Technology Leadership Team.
Yonghua has worked on AI system and computer vision research for more than 15 years. She led the team built and operate IBM OpenPOWER innovation cloud, including OpenStack, container cloud, GPU and FPGA, computer vision technologies. The related technologies have been used by IBM Waston and IBM PowerAI.
Yonghua innovated the "AI for AI" concept for Computer Vision and Deep Learning, and led the research and development of PowerAI Vision. PowerAI Vision is the "AI brain" for deep video and image analytics, IBM enterprise product for computer vision. In 2018, PowerAI Vision won International Spark Design Glod Award. Yonghua herself has more than 50 patents granted worldwide and publications in top conferences and journals. She got best paper awards from IEEE ComSoc in 2013 and IEEE/ACM ICCAD in 2018. She is the chair of IEEE Women in Engineering Beijing Section, and drives "AI for Kids" initiatives for society.
Adrian Mendes
Adrian Mendes has 20 years of experience in the high-tech industry as a founder as well as leading operations and building teams at successful Silicon Valley semiconductor companies. He spent 13+ years at Cypress Semiconductor where he oversaw Global Operations, and then moved into senior management positions in Atmel Corporation, Ice House, Pacific Private Equity Group, Quant Power and Pacific Infra Capital. He used to oversee Product Development at Groq for nearly 2 years, before becoming COO.
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.
Yichen Shen
Yichen Shen is a co-founder and CEO of Lightelligence. He received his PhD degree in Physics from MIT in 2016, where his research focused on nanophotonics and artificial intelligence. Through his PhD, Yichen has published more than 25 peer-reviewed journal papers and has filed 10 US patents, including first authored papers in Science, Nature Photonics, and ICML (the top machine learning conference). In 2017, Yichen received Forbes 30 under 30 Global and MIT Technology Review 35 Innovators under 35 (TR35) China.
Li Yunpeng
Mr. Li Graduated from the Department of Computer Science and Technology at Nanjing University in 2002 and obtained his master’s degree in computer science from the University of Wisconsin-Madison in 2005. He worked at Oracle Corporation from 2005 to 2015, where he was engaged in the design, research and development of database infrastructure software, as well as technical management work. He went on to become Director of software development in the Database Division at Oracle. His ten-year career in Silicon Valley allowed him to gain a deeper understanding of the information platform industry and its products. In 2015, he returned to China and founded Iluvatar CoreX, beginning the transition from technical expert to start-up founder and entrepreneur.
Li Yunpeng has always kept abreast of trends in technological development and is fully aware of the opportunities for qualitative change that new technologies such as cloud computing, big data and artificial intelligence can bring to the digital transformation of enterprises. He believes that the enterprise cloud computing market will shift from industry digitization to digital industrialization, and there will be a wide market for platform products that resolve the issue of computing power during the great wave of enterprise digital industrialization represented by AI. Therefore, combining his own advantages with those of his team, he came back to China and founded Iluvatar CoreX in 2015.
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.
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.
Jason Lu
Jason Lu is VP of Sales at Graphcore, and he is overseeing sales and business activities in China. He is currently focusing on setting up a strong business and technical team to introduce Graphcore’s IPU technology to innovators in China. Before joining Graphcore, he spent 13 years at Cavium where he was the GM for their business in China and he started China operations for Cavium.
Dr Wensong Zhang
Dr. Wensong Zhang is SVP at Didi Chuxing. He is in charge of the company’s Infrastructure and Platform Department, which focuses on developing tech services for DiDi. His teams lead DiDi’s efforts to optimize the performance of network hardware/software and develop next generation Smart Transportation solutions. One of his main achievements has been the successful founding and development of the Linux Virtual Server project, an open source project to build advanced server clustering software for Linux. Before joining DiDi, Wensong served as the Vice President and CTO of Alibaba Cloud. He was also an Associate Professor of Computer Science and Technology at the National University of Defense Technology.
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.
The Agenda
Download the AI Hardware Summit Asia agenda
Watch the highlights from Silicon Valley:
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Interactive Session with Teradyne
To Deliver on the Promise of AI: Find a Trusted Test Partner
Wednesday, June 5th
Across cloud infrastructure and edge applications, artificial intelligence has taken center stage. As AI chip companies look to deliver new products to market fast, with high yield and low DPPM, the need for a trusted and experienced test partner is critical. On Wednesday June 5, Teradyne will host a one-hour session to share the essential steps you and your company should take today to test your AI chips, and the new test concepts and solutions to ensure you can deliver the innovations of tomorrow. We will discuss:
- AI chip ATE test techniques and solutions for aggressive Time-to-Market
- AI chip ATE test techniques and solutions for maximizing test coverage
- Future ATE test concepts and solutions for AI chips
Join a small group of leading AI chip companies for a conversation with the leader in semiconductor automatic test equipment, Teradyne. You can register HERE today.
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Venue
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