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AI Hardware Summit: Register for 2021 edition

FEATURED REPORT: Kisaco Leadership Chart on Intelligent Virtual Assistants 2021

WEBINAR: Making Sense of the AI Chip Market: The Data Center/ HPC Perspective

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The landscape of the technology industry, and the fundamental way in which computing is done, is facing a paradigm shift. A sudden and huge increase in demand for computational power, driven by big data, AI, and the growth of IOT and edge computing, especially with 5G roll out, has coincided with the performance plateauing of CPU-based computing and the limitations of von Neumann architectures. The horizon of future computing encompasses domain-specific hardware, quantum computing and new innovations in algorithms.

KR Tech was launched to bring our clients both intensively researched conference programmes, business intelligence and the most influential networks. Kisaco Research genuinely helps its clients set and reset their business destinations and chart their own courses.

Events Calendar

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29 Sep 2021-7 Oct 2021
VIRTUAL EVENT | PDT Timezone
Luminary Keynotes: In 2020 we saw unique perspectives from industry luminaries such as Turing Award Winner David Patterson, and venture capital pathfinder and computer hardware industry veteran, Vinod Khosla. Returning 2019 AIHW Summit luminary Lip-Bu Tan, CEO of Cadence Design Systems. Innovations and Optimizations of Silicon & Systems for AI Training & Inference: Product launches & deep-dives from C-level executives in the AI Hardware industry.Optimizing Machine Learning Systems: Hyperscaler perspectives on designing & engineering bleeding-edge AI systems, from hardware through software. ML system co-design and protecting compute performance gains by eliminating system-level inefficiencies.Inference in Client (Edge) Computing: Applications for AI accelerators in cameras, consumer electronics, autonomous vehicles etc.Preserving Developer Efficiency in the Adoption of Novel AI HardwareBeyond Compute: AI’s Impact on memory, storage & networking: Innovations in HBM, on-chip memory and NVM, I/O bottlenecks, data transfer & high-speed interconnects.Managing Machine Learning Models at Scale: Machine Learning hardware robustness & reprogrammability, model standardization & interoperability. Financial & Industrial Analysis: New in 2020: Presentation of the results and insights from AI Hardware Summit’s first comprehensive vendor comparison report, detailing 20 vendors. VC investment and broader market trends & dynamics, benchmarking & metrics.Networking at the virtual AI Hardware Summit Get access to the attendee list before the show and schedule 1-2-1 meetings with attendees, speakers and sponsors throughout the conference so you don’t miss out on networking & interaction opportunities.
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Brain Inspired Computing Congress 2020
18-19 Nov 2020
VIRTUAL EVENT | ON DEMAND
The Brain Inspired Computing Congress will bring together the leading start-ups, researchers and multinational companies who are exploring technologies spanning neuromorphic engineering, event-based sensors, brain-inspired algorithms and biologically plausible neural networks. This congress will provide an overview of these technologies in addition to deep-dive sessions on new architectures for neuromorphic chips, event-based sensors, and efforts to create biologically plausible algorithms.The Brain Inspired Computing Congress will focus on the prime applications for brain-inspired technologies including autonomous vehicles, robotic arm control and dynamic vision sensing. Given the scope for ultra-low-power and edge applications, this technology can be used where conventional deep learning methods are not well suited, such as brain-implants, where it is vital to adhere to power and temperature constraints. Therefore, this congress will also openly discuss the overlap and differentiation between applications for conventional deep learning and brain-inspired computing, exploring how these technologies can complement one another.
 
Edge AI Summit 2020
18-20 Nov 2020
VIRTUAL SUMMIT | PDT Timezone
A 2020 report by Frost & Sullivan stated that 90% of industrial enterprises will be utilising edge computing by 2022. The value of the data that can be gleaned from intelligence ‘in the field’ is clear, but the current limitations of low power, on-device compute, data management and processing across the edge computing landscape continue to pose multiple engineering challenges. We’re thrilled to announce the agenda for the 3rd annual Edge AI Summit, which was the first ever dedicated summit focused on deploying machine learning on devices, and on the network infrastructure that supports the intelligent IoT. This year is all about Edge AI case studies! From ultra-low-power microwatt applications at the ‘sensor edge’, to larger milliwatt examples at the ‘device edge’ up to the non-power constrained ‘server-network edge’; we’ll be gathering a global audience (virtually!) to explore the most innovative real-world use cases of hardware and software facilitating AI at the Edge with examples from Uber AI, Google, Bosch, Magic Leap, Rakuten and many more…
 
AI Hardware Summit Europe
14-16 Jul 2020
VIRTUAL EVENT | CEST Timezone
After three successful events (two in the US, one in China) we’re delighted to be bringing the AI Hardware Summit to Munich. We’ve been honoured with previous keynote speakers such as Dr. John L. Hennessey, Chairman of Alphabet, Lip-Bu Tan, CEO of Cadence Systems and Naveen Rao, CVP & GM of Intel’s AIPG. Europe is struggling to keep up with developments in machine learning at the same pace as the US and China, where many of the top labs are located and investments are significantly larger. Due to its academic strength in AI, the potential for Europe to catch up in AI research is massive and could add enormous value to its combined economic output. Institutes like the ELLIS Society are working closely with top European academics to enable Europe to perform the best fundamental AI research, but there is still a large gap in GDP investment when compared to the US and China. Given Europe’s strength in automation across industrial, robotics and autonomous vehicles manufacturing, this summit will focus on inference systems in edge computing, connecting these industries through common challenges in systems architecture/engineering. The AI Hardware Summit Europe will bring together key players across the AI hardware ecosystem to promote innovation and adoption of systems & silicon for processing AI.
 
24 Jun 2020
Webinar Series
This past year, the cloud gaming industry has become a vibrant marketplace where influential partnerships are happening - such as the Microsoft alliance with Sony and Google with BT - amplifying the opportunity that cloud gaming represents for the gaming industry and highlighting its growth potential. But the industry faces some significant technological challenges, as ensuring the continuity and quality of the gaming experience is crucial, in order to build an audience and a trustworthy reputation for cloud gaming platforms and products.The Cloud Gaming Congress Webinar Series will congregate the critical mass of the emerging cloud gaming industry, to define game streaming business models, overcome technological hurdles in distribution and create partnerships between content creators & platforms, and gaming companies & tech providers.The series will navigate between technical and business-related topics, critiquing current service offerings, evaluating consumer behaviors, and extracting key insights for smart business decisions and stronger business models. Telco & network experts will discuss leveraging 5G to optimize the cloud gaming experience and assess strategies to overcome challenges such as latency and packet loss. Finally, we will discuss the future direction of the gaming industry, analyzing the relationship between console/PC and cloud gaming going forward.We will be exploring the expansion of content creation through cloud gaming as well as how the cloud will revolutionize the gaming industry by allowing game publishers & developers to close the gap with their customers, and by enabling a new wave of data insights for gaming companies.“What will be interesting is when you develop cloud to run natively onto servers and you take advantage of thoseresources whether it’s computer storage or into network creating a persistent world that can host millions of gamers at the same time continuously, that transformation is gonna be enabled over the next decade and it’s gonna change the world of gaming and cloud gaming is really just the beginning...” Marcus Kennedy, GM, Gaming Division, Client Computing Group, IntelRegister to attend the second webinar in the series: 
 
Edge AI Summit 2019
20-21 Nov 2019
COMPUTER HISTORY MUSEUM, MOUNTAIN VIEW, CA
Limitations of cloud-based AI, such as latency, power consumption, security and cost, have become bottlenecks for the deployment of AI products and services in environments close to data sources. The Edge AI Summit focuses on the challenges of disaggregating AI processing across the edge computing paradigm, from cloud to device via localized ‘fog’ compute nodes near the network edge. Themes for this year’s summit focus on challenges such as embedding tiny machine learning models on battery-powered devices, using AI for network slicing, applying machine learning to streaming data, and deploying cohesive infrastructure to empower developers to build AI software for the edge. The Edge AI Summit attracted 150+ technology leaders from across the globe in December 2018, and returns this November for tech companies, device manufacturers and enterprises who are deploying machine learning to the edge.
 
17-18 Sep 2019
COMPUTER HISTORY MUSEUM, MOUNTAIN VIEW, CA
Take advantage of over 9 hours of dedicated networking time to meet key industry leaders, whilst also exploring:  Luminary Keynotes: Unique perspectives from industry luminaries in hardware (John Hennessy), AI (TBC) and investment (Lip-Bu Tan).Innovations and Optimizations of Silicon & Systems for AI Training & Inference: Presentations and product launches from C-level executives from AI chip start ups, semiconductor companies and systems OEMs.Training & Inference at Hyperscale & AI Accelerators in the Data Center Hardware Environment: Deployment & maintenance of AI infrastructure in data centers, hardware requirements for training & inference at scale.Inference in Client (Edge) Computing: Applications for AI accelerators in cameras, consumer electronics, autonomous vehicles etc.Beyond Compute: AI’s Impact on Memory, Storage & Networking: Innovations in HBM, on-chip memory and NVM, I/O bottlenecks, data transfer & high-speed interconnects.The Impact of Future ML Models on Hardware Design: Machine Learning co-design, robustness & reprogrammability, model standardization & interoperability.AI Chip Design & Commercialization: Design, testing & manufacturing, form factors & routes-to-market.Financial & Industrial Analysis: Market growth and maturity, VC investment trends & dynamics, the commoditization of the inference market, benchmarking & metrics.“Two overarching efforts are indispensable in this AI chip development frenzy: objectively evaluating and comparing different chips (benchmarking), and reliably projecting the growth paths of AI chips (road mapping).” White Paper on AI Chip Technologies: Tsing Hua University & Beijing Innovation Center for Future Chips, December 2018.
 
4-5 Jun 2019
HILTON BEIJING CAPITAL AIRPORT, BEIJING, 100621
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.
 
AI Hardware Summit Asia - Mandarin
4-5 Jun 2019
HILTON BEIJING CAPITAL AIRPORT, BEIJING, 100621
人工智能硬件峰会是第一个也是唯一一个专门探讨开发用于神经网络与计算机视觉的硬件加速器这一生态系统的行业峰会。参加峰会,与200多位来自人工智能芯片领域的新创企业、半导体公司的资深技术领导、系统供应商/原始设备制造商、数据中心、终端用户、金融服务机构、投资人及基金公司汇聚一堂,共同构建新兴人工智能芯片市场的总体综合路线图。利用独特的交流机会,与主要行业领袖进行1-2-1单独接触,就以下继分领域进行深度交流: 高性能芯片架构的创新与优化:GPU(图形处理器)、 ASIC(专用集成电路)& TPU、FPGA(…替代性方案:复合数字/模拟计算、神经形态学和神经忆阻系统(neuromemristive systems)与量子计算。软件的作用:辅助软件、软件框架、生态系统和应用。生成用户友好的原代码,并将TensorFlow&Caffe等开源机器学习框架链接起来。行业发展:创业与企业研发、风险资本与企业风险投资的投资趋势、战略性并购与合作。  各项预测预言,人工智能(芯片组)市场有望从2018年的70.6亿美元增长到2025年的592.6亿美元, 期间年复合增长率达到35.5%(Business Wire,2018)。因此,芯片市场将迎来停滞不前。我们正处于计算范式的转变期,毋庸置疑的是,目前正在开发的处理单元的结合将加快人工智能的研究与开发,而人工智能的性能将远远超过现有平台。。因此,对如何将这一趋势转化为机遇,如何规划未来,需要我们分享我们的认识与见解。您现在可以查看议程并在微信上付款 
 
Strategic Cloud Migration Summit
14 May 2019
London, United Kingdom
The cloud has rapidly grown from being a market disrupter to an essential IT strategy for enterprise.  77% of businesses have at least one application or portion of their enterprise IT infrastructure in the cloud.  Migrating to the cloud is tough. Whether you are fully cloud-native, in a hybrid cloud environment or just taking the first steps, The Cloud Migration Summit will debunk migration myths and help IT Strategists and I&O leaders properly foster a corporate cloud culture and avoid migration pitfalls that might ramp up expenses bureaucracy and hamper digital transformation efforts. Discover how the cloud front runners and industry leaders accelerated their digital transformations through a series of dedicated case studies, panel discussions and round tables.83% of IT workloads will be in the cloud by 2020. Don't get left behind the curve.
 
Autonomous Vehicle Hardware Summit
27 Mar 2019
Silicon Valley, CA
The Autonomous Vehicle Hardware Summit is the first and only conference focusing solely on architectural and engineering challenges for silicon, sensors and systems in autonomous vehicles. The automotive electronics industry will grow to $280 billion by 2020, and will likely look very different, as new entrants such as NVIDIA enter the space with new autonomous driving solutions and advanced-node AI accelerators. Many new entrants have little to no experience of the automotive industry’s stringent functional safety requirements, while testing and simulation methodologies for semiconductor products are meeting with skepticism from auto OEMs and their suppliers.To control the automated driving value chain a knowledge of hardware is crucial – the hardware architectures of Level 3, 4 & 5 AVs, often termed ‘super computers on wheels’, will be fundamental to the ultimate effectiveness and cost of the vehicle, and the overall quality of the user experience. The AV Hardware Summit will bring together 150+ tech and auto leaders to help overcome these challenges and pave the way for the next generation of driverless cars.
 
Edge AI Summit
11 Dec 2018
San Francisco, USA
Data has gravity.It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe. This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.
 
AI Hardware Summit 2018
18-19 Sep 2018
Computer History Museum, Mountain View, CA
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.
 
Artificial Intelligence: Transforming Pharma
21-22 Feb 2018
Boston, USA
The Artificial Intelligence: Transforming Pharma Congress will discuss AI's potential for more efficiently discovering medical trends and efficacious therapeutics and also for streamlining the development phase. We'll be sharing case studies and analysis into current AI partnerships and collaborations.
 
RPA & Cognitive Congress Dallas
17-18 Jan 2018
Dallas, TX, USA
RPA & Cognitive Congress Dallas is assembling leading service delivery and automation professionals for frank and pragmatic discussion about RPA, the benefits and opportunities of this technology, and the real-world challenges they’re facing in implementation.
 
12-13 Dec 2017
Bengaluru, India
The RPA and Cognitive Congress is India’s first deep-dive RPA and Cognitive automation conference. This event follows on from two successful events earlier this year in London and Orlando, attracting 120+ leading executives in service delivery.
 
Nordic RPA and Cognitive Congress
10-11 Oct 2017
Stockholm, Sweden
The Nordic Robotic Process Automation & Cognitive Congress will examine RPA’s transformational impact as a digital tool for back office processing. The content of our two-day congress details case studies from leading organizations globally and addresses how these businesses have effectively utilized RPA as a means to improve service delivery, enhance productivity and reduce costs.

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David Patterson, Distinguished Engineer, Google

David Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer, and the RISC-V Foundation Vice-Chair. He received his BA, MS, and PhD degrees from UCLA. His Reduced Instruction Set Computer (RISC), Redundant Array of Inexpensive Disks (RAID), and Network of Workstation projects helped lead to multibillion-dollar industries.

This work led to about 40 awards for research, teaching, and service plus many papers and seven books. The best known book is Computer Architecture: A Quantitative Approach and the newest is The RISC-V Reader.

He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award.

Partnership Opportunities

The KR Tech portfolio is your global, multi-channel partner to reach, engage and interact with the most influential and important stakeholders in the world of high tech.

With a solution to hit every objective, our high-level annual summits, bespoke introductions, reports, webinars and content-driven marketing offer multiple ways engage your target market and can form an integral part of your annual marketing plan.
At Kisaco, we also know that in a sector that develops and progresses quicker than most, you need different solutions at different times of the year, so our packages can be built to order to fit in with your current plans.

Product launch? – If you need to bring a new product to market, you’ll need air time to make announcements, synchronized marketing and PR announcements to leverage our audiences and media partnerships, as well as access to client accounts to build sales pipelines. We can help!

Need to drive leads? Our summits offer best-in-class networking opportunities, giving you access to decision makers to arrange meetings, while our bespoke webinars offer up a chance to get hundreds of leads in one single activity.

Want thought leadership? Showcase your expertise by presenting on market-leading programs (US English) alongside luminaries like John Hennessey, David Patterson, Vinod Khosla and Lip-Bu Tan.

Need investment? – Regardless of where you are in your fund-raising journey, we have can help give you the visibility and platform you need to put you in the eyeline of the investor.

Need Competitive Intelligence? – Reports by our new Chief Analyst, Michael Azoff, provide in-depth insights into the market & technology landscapes of high tech industries, and profile participating vendors in an objective, comparative way

Talk to us today to see how we can give you access to the decision makers you need and look at a short, mid or long term marketing plan. E: [email protected]

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