Wei Li, Vice President and General Manager of Machine Learning Performance, Intel 
Why Attend
AI optimization and acceleration so far has mostly been driven by novel hardware innovations. However, recently there have been new products developed by the AI start-up and research communities that operate at the software level in the machine learning technology stack, which reduce training length, inference time, energy consumption and memory usage of AI and machine learning (ML) models.
Learning how to benchmark, deploy, and use these tools, as well as scrutinizing existing real-world use-cases is business-critical because these tools disrupt the AI market by:
- Enhancing the running of ML models on CPUs, therefore, reducing the costs of ownership of AI hardware
- Improving the performance of standard AI accelerators (GPUs, FPGAs, DSPs etc.)
- Helping more data science and machine learning projects get into full production
- Increasing the competitiveness of products in the crowded edge device and IoT markets
The Software for AI Optimization Summit will demonstrate how to deploy and integrate the latest novel software optimization tools into AI/ML workflows. Consequently, innovators and adopters in data science, machine learning, AI engineering and IoT solutions will uncover new techniques that enable the training and inference of AI and ML models to be faster, more cost-efficient, and still maintain high levels of performance and accuracy.
Consequently, you will be ahead of the latest innovations across the ML technology stack enabling you to make informed decisions about strategic partnerships on who to partner with to optimize AI on the cloud and at the edge.
Key Topics for 2021
Benchmark and understand how training and inference time, energy consumption and memory usage of AI is impacted by software for AI optimization
Navigate the market by networking with End-Users from the IoT, Edge & Cloud, AI Hardware Vendors, Researchers, Software Providers & Investors
- Learn from use cases how to deploy models on resource-constrained devices and create space for additional functionality
Hear from practitioners in MLOps on how to get more machine learning and data science projects into production
Collaborate with partners in the AI ecosystem across the software and hardware stack to achieve end-to-end optimization and acceleration
The ML technology stack and the optimizations possible at each level
The Agenda
Download the Software for AI Optimization 2021 agenda.
Watch highlights from the AI Hardware Summit 2019:
Download the agenda
Speakers
Andrew Richards
CEO and co-founder of Codeplay, Andrew started his career writing video games in the days of 8-bit computers, progressing to become a lead games programmer at Eutechnyx™, where he wrote best-selling titles such as Pete Sampras Tennis and Total Drivin’. Codeplay have been producing compilers for games consoles, special-purpose processors and GPUs since then. As well as being CEO and Founder of Codeplay Software Ltd, Andrew is also the Chair of the Software working group of the HSA Foundation™ and former Chair of the SYCL™ for OpenCL™ sub-group of the Khronos® Group.
Wei Li
Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation, where he is responsible for AI software product development for deep learning, statistical machine learning and big data analytics, as well as hardware co-design for AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. He is passionate about product technology innovation and his team’s work has been instrumental in realizing Intel's multi-billion dollar AI revenue growth.
As a performance software technologist, he has led teams to win competitions and set performance world records in AI, data analytics and high performance computing. He received his Ph.D. in Computer Science from Cornell University and completed an executive accelerator program at the Stanford Graduate School of Business.
Peter Grabowski
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.
Alvin Andrian
Zach Shelby
Zach is an entrepreneur, angel investor and technologist in the embedded space with a passion for TinyML, embedded and Internet engineering. Zach is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, active in several of his portfolio companies, and is working to bring ML to any embedded device as co-founder and CEO of Edge Impulse.
Prior to this, he served in a number of roles at Arm, including VP of developers, VP of marketing, and director of technology for IoT. Zach was the co-founder and CEO of the Micro:bit Foundation and the co-founder of Sensinode, acquired by Arm in 2013, where he acted as CEO and CTO. He is an active investor and advisor for tech startups, including CubiCasa (PropTech), Augumenta (AR), Petasense (Industrial IoT) and Walkia Lighting (LED lighting). Before starting Sensinode, he led wireless Internet networking research at the Centre for Wireless Communications and at the Technical Research Center of Finland. Zach has served on the Technical Advisory Board and Board of Directors at the IPSO Alliance, has contributed to numerous IoT-related standards and was awarded the Nokia Foundation Award in 2014 for his work on the Internet of Things.
Calin Barburescu
Werner Bailer
Rangan Sreenivas
Dr. Bernd Waschneck
David Kanter
David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.
Ranjeet Singh
Yvonne Lutsch
Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.
Venkatesh Wadawadagi
Venkatesh is a senior data scientist, practice leader, author and speaker. As a solution consultant at Sahaj Software Solutions, he helps businesses solve complex problems using AI-powered solutions.
He specialises in Deep Learning, Computer Vision, Machine Learning, embedded-AI and business intelligence. He has extensive experience in building algorithms, leading the teams/efforts, architecting the solution and research. He has worked on a variety of solutions ranging from building brand monitoring systems, building a Deep Learning Inference Engine for an e-AI chip, implementing Adaptive Traffic Control System to research and development in the area of ATM surveillance.
He also has experience of working across other areas like Video Codecs, embedded systems, FPGA subsystems and Linux programming & development. Earlier he has worked with the Uncanny Vision Solutions and Pathpartner Technology.
Simon Wiedemann
Peter Buckingham
Nic Lane
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.
Michael McCourt
Michael McCourt is the head of engineering for the SigOpt team within Intel, developing computational statistics and AI tools to power efficient model development and experimental design. His team is responsible for both the research into novel methodologies and their stable and robust implementation and deployment in our enterprise SaaS platform. He did his undergraduate work at the Illinois Institute of Technology, graduate work at Cornell, and postdoc at CU-Denver, all in Applied Mathematics. He has authored more than 20 peer-reviewed articles and a text on kernel methods in mathematics and statistics.
Dr. Chris Eliasmith
Chris is a co-founder and co-CEO of ABR. Chris leads all of the scientific and technical aspects of ABR. Chris is also a professor at the University of Waterloo appointed in the Philosophy and Systems Design Engineering departments and cross-appointed to Computer Science. He holds the Canada Research Chair in Theoretical Neuroscience and is the director of the Centre for Theoretical Neuroscience (CTN) at the University of Waterloo. Chris has published over a hundred articles and two books: How to Build a Brain (Oxford University Press) and his seminal Neural Engineering. In 2015, he won the prestigious NSERC Polanyi Award for his research.
Benjamin Cabé
Jianhui Li
Who will be there
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Users
- Automotive
- Automation & Robotics
- Drones
- Retail
- Edge Device Manufacturers
- Computer Vision
- Healthcare30% -
Software Solution Providers30%
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AI Hardware Providers20%
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Cloud Providers10%
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Academic and Research Institutions10%
PORTFOLIO ATTENDEES
Gold Partner
Codeplay
Website: https://www.codeplay.com/
Codeplay Software is a world pioneer in enabling acceleration technologies used in AI, HPC and computer vision applications. Codeplay was established in 2002 in Edinburgh, Scotland and creating some of the first software tools enabling complex applications to be accelerated using graphics processors. Today, most AI, HPC and computer vision software are developed using graphics processors, and more recently specialized AI and computer vision accelerators, including RISC-V Vector processor. Codeplay continues to work with global technology leaders to make the latest complex AI systems programmable using open standards and allows application developers to quickly bring software to the market.
Intel
Website: https://www.intel.com/content/www/us/en/artificial-intelligence/overview.html
Please visit our website for more information.Event Partner
Applied Brain Research
Website: https://appliedbrainresearch.com/
Applied Brain Research (ABR), headquartered in Waterloo, Ontario, is an AI semiconductor company that is pioneering time series processing (TSP) AI for edge IOT devices. ABR’s innovative and patented state space algorithms and TSP ASIC architecture enable capabilities for Voice UI and advanced biomedical inference previously unachievable in battery powered devices. ABR provides customers with a complete toolchain for network development, training and secure deployment. For more information, please visit https://www.appliedbrainresearch.com.
Media Partners
Eclipse IoT
Website: https://iot.eclipse.org/
Eclipse Foundation-The community for open innovation and collaboration, it provides our global community of individuals and organizations with a mature, scalable and business friendly environment for open source software collaboration and innovation.
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.
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.
HPCwire
Website: https://www.hpcwire.com/
HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed more than three decades of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in HPC, AI and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC community’s most reliable and trusted resource. Visit www.hpcwire.com.
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 IoT industry.
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.
To join our community, register at: https://www.iotglobalnetwork.com/register For more information, contact: Cherisse Jameson: [email protected]
Kinetic Edge Alliance
Website: https://www.vapor.io/kinetic-edge-alliance/
The Kinetic Edge Alliance (KEA) is an industry working group dedicated to making edge computing easy and connecting stakeholders with end users and customers.
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.
PARTNER WITH US
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Interested in a media partnership?
We'd love to hear from you and how we can support one another to connect with the industry. Contact [email protected]
Conference Packages
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Contact: Finola McMahon, Marketing Director, [email protected]
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