oneAPI DevSummit for AI 2023

August 18, 2023

August 18th 9:00 - 10:30 am CST
August 21st 9:00 - 5:30 pm CST
August 22nd 9:00 - 12:30 pm CST

See agenda

DESCRIPTION

The oneAPI DevSummit for AI 2023 offers valuable insights for researchers, data scientists, and developers. It includes technical talks, workshops, and demonstrations on the capabilities of oneAPI tools. Renowned experts will discuss the latest AI and oneAPI technologies, tools, trends, and techniques. Sessions cover:

Drop-in optimizations across popular frameworks and libraries
Intel AI tools for end-to-end development,
Two hands-on workshops using Intel’s AI-optimized hardware.
Predicting wildfires using PyTorch,
End-to-end pharmaceutical product lifecycle solutions
Panel discussions with experts

Register now to enhance your AI skills and get early access to Intel’s Data Center GPU Max Series on Intel® Developer Cloud.

Agenda

Registration Party

Day 1

Day 2

Registration Party

9:00 - 10:30 CST

Intel Developer Cloud and Discord Onboarding Day

During this session, we will help onboard attendees into Discord as well as the Intel® Developer Cloud. Attendees will need to sign up for the Intel® Developer Cloud in order to participate in the workshop sessions. Join us to ask questions, play games, and have fun during this registration party!

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Day 1

9:00 - 9:15 CST Introduction

Introduction

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Presenting

Sri Ramkrishna - oneAPI Community Manager/Intel

Sri Ramkrishna - oneAPI Community Manager/Intel

Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.

Susan Kahler - AI Product Manager/Intel

Susan Kahler - AI Product Manager/Intel

Susan Kahler is a Product Marketing Manager for AI at Intel. She has her Ph.D. in Human Factors and Ergonomics, having used analytics to quantify and compare mental models of how humans learn complex operations. Throughout her well-rounded career, she has held roles in user centered design, product management, customer insights, consulting and operational risk. Susan recently completed her Master of Science in Analytics, focusing on healthcare analytics. She also holds a patent for a software navigation system to guide users through dynamically changing systems

9:15 - 10:00 CST Keynote

Shaping the Future of AI with PyTorch

Last September, PyTorch became a part of the Linux Foundation, officially forming the PyTorch Foundation. The foundation’s primary objective is to assist end users in navigating the PyTorch ecosystem, attracting talent, facilitating the adoption of PyTorch, and providing successful support for open-source AI technologies. Over the first half of 2023, the PyTorch community has experienced remarkable growth. Notably, the number of commits across all repositories…

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Presenting

Lucy Hyde - Program Manager and Data Scientist/Linux Foundation

10:05 - 10:35 CST Tech Talk

Unlocking and Accelerating Generative AI with OpenVINO™ Toolkit

Generative AI has recently taken the world by storm, with models like Stable Diffusion and GPT demonstrating capabilities to create high-quality data and perform complex problem-solving. However, evaluating and adopting Foundation Models & Generative AI can quickly prove challenging due to large compute requirements and roadblocks with deployment. In this tech talk, we’ll discover how Intel® OpenVINO™ helps accelerate the end-to-end process of Generative AI…

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Presenting

Ria Cheruvu - AI SW Architect and Evangelist/Intel

Ria Cheruvu - AI SW Architect and Evangelist/Intel

Ria Cheruvu is an AI SW Lead Architect and AI Evangelist at Intel Corporation. She has a master’s degree in data science from Harvard University, and is an instructor of data science curricula, having previously taught for Harvard University, Eduonix, Udacity, and Educative. Ria is a passionate and renowned industry speaker having delivered technical talks, podcasts, and keynotes on AI, including DEFCON, TedX, Women in Data Science communities, the QS EduData Summit, and Intel Innovation. She is a published poet, children’s book author, and neuroscience enthusiast.

10:40 - 11:10 CST Tech Talk

TraffiKAI: An AI-Powered Solution for Efficient Traffic Management

In this talk, we will be discussing TraffiKAI, an AI and ML solution designed to address the pressing issue of traffic congestion and the challenges faced by emergency vehicles. TraffiKAI proposes two components: Dynamic Traffic Signaling and Emergency Vehicle Detection. Our objective is to improve the efficiency of the traffic signaling system and ensure smooth traffic flow. We utilize the Intel AI Analytics Toolkit with…

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Presenting

Guru Akhil Mandala - Undergraduate Student/Dayananda Sagar College of Engineering

Guru Akhil Mandala - Undergraduate Student/Dayananda Sagar College of Engineering

Meet Akhil, a passionate ML enthusiast with a strong inclination toward coding. “I explore the fascinating world of machine learning and constantly expand my knowledge. Participating in code challenges and hackathons fuels my motivation to solve complex problems and collaborate with others. I value effective communication and strive to create a positive, collaborative environment.”

Mani Kanta - Undergraduate Student/Dayananda Sagar College of Engineering

Mani Kanta - Undergraduate Student/Dayananda Sagar College of Engineering

Hello, I’m Manikanta, a passionate individual with expertise in coding, Machine Learning (ML), Deep Learning (DL), and MLOps. I enjoy cricket and movies in my free time. As a lifelong learner, I stay updated with the latest advancements and apply them to real-world problems. I have hands-on experience implementing ML and DL algorithms, finding creative solutions to challenges. I’m driven and dedicated to making a positive impact through innovative solutions.

Nishank Satish - Undergraduate Student/Dayananda Sagar College of Engineering

Nishank Satish - Undergraduate Student/Dayananda Sagar College of Engineering

Meet Nishank, a geeky, code-loving enthusiast of machine learning and data science, with a passion for data engineering. “An extrovert at heart, I thrive on connecting with others and exploring new opportunities. When I’m not engrossed in coding, I find myself drawn to the world of self-help books, where I seek diverse perspectives and insights to nurture personal growth.
But that’s not all – I am also a cricket aficionado, taking to the field whenever I can, combining my love for strategy and team play. In my free time, you’ll often find me engrossed in thought-provoking podcasts that feed my curiosity and broaden my horizons. Additionally, spending quality time with family and friends is essential to me, as it brings joy and a sense of balance to my life.”

Pothuri Vineel Akash - Undergraduate Student/Dayananda Sagar College of Engineering

Pothuri Vineel Akash - Undergraduate Student/Dayananda Sagar College of Engineering

Vineel Akash is pursuing a Btech in Dayananda Sagar College of Engineering. He loves to code, read books, explore new opportunities and is a ML enthusiast.

Shreyas K - Undergraduate Student/Dayananda Sagar College of Engineering

Shreyas K - Undergraduate Student/Dayananda Sagar College of Engineering

Shreyas is an energetic and dedicated ML Engineer with a strong passion for AI and computer vision technologies. “My expertise includes developing cutting-edge projects in dynamic traffic management, generative AI applications, and object detection models. I am recognized for optimizing traffic flow and revolutionizing historical experiences through innovative AI solutions like Generative AI. With exceptional problem-solving skills, keen attention to detail, and a drive for continuous learning and innovation, I am excited to share my insights and inspire others in the dynamic field of AI. Let’s explore the boundless possibilities together!”

11:10 - 11:25 CST Break

11:25 - 11:55 CST Tech Talk

Multiarchitecture Hardware Acceleration of Hyperdimensional Computing with oneAPI

Hyperdimensional computing (HDC) is a machine-learning method that seeks to mimic the high-dimensional nature of data processing in the cerebellum. This research utilizes oneAPI libraries with SYCL to create multiple accelerators for HDC learning tasks for CPUs, GPUs, and field-programmable gate arrays (FPGAs). This work benchmarked HDC training and inference tasks on the Intel Xeon Platinum 8256 CPU, Intel UHD 11th generation GPU, and Intel…

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Presenting

Ian Peitzsch - Predoctoral Trainee/University of Pittsburgh

Ian Peitzsch - Predoctoral Trainee/University of Pittsburgh

Ian Peitzsch is a PhD student at the University of Pittsburgh working in the NSF Center for Space, High-performance, and Resilient Computing (SHREC). His current research focuses on the acceleration of hyperdimensional computing on various hardware platforms.

12:00 - 12:30 CST Tech Talk

Efficient Inference and Training of Large Neural Network Models

The memory consumption and computational cost of SOTA NN models are dramatically increasing. Efficient deep learning can be applied to both inference and training. In this talk, we present our progress regarding quantization and sparsification. First, we show our solutions to efficiently implementing large recommendation models, where we systematically apply quantization in DQRM with the assistance of oneAPI. Then we talk about our efforts in…

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Presenting

Zhen Dong - Postdoc Student/University of California, Berkeley

Zhen Dong - Postdoc Student/University of California, Berkeley

Zhen Dong received his B.S. from Peking University in 2018 and Ph.D. from University of California at Berkeley in 2022. He is currently a postdoc at UC Berkeley working with Prof. Kurt Keutzer. Zhen received the Outstanding Graduate Award at Peking University and the distinguished Berkeley University Fellowship.
His research interests include efficient deep learning, quantization, model compression, and hardware-software co-design.

Prof. Kurt Keutzer - Professor/University of California, Berkeley

Prof. Kurt Keutzer - Professor/University of California, Berkeley

Kurt Keutzer is a Professor of EECS at UC Berkeley, specializing in Deep Learning. His algorithms reduced training time for ImageNet and BERT. His “Squeeze” DNNs are ideal for mobile apps. Kurt was CTO at Synopsys and recognized for his contributions to Electronic Design Automation. He’s an experienced entrepreneur, investor, and advisor to over 30 startups, with recent exits including DeepScale (co-founder) and BabbleLabs (investor).

Coleman Hooper - PhD Student/ University of California, Berkeley

Coleman Hooper - PhD Student/ University of California, Berkeley

Coleman is a graduate student at UC Berkeley, CA, USA, pursuing a PhD in Electrical Engineering, affiliated with the Specialized Computing Ecosystems (SLICE) lab and with Berkeley AI Research (BAIR). His research interests are in hardware acceleration and hardware-software co-design for machine learning with a particular focus on NLP applications. Previously, he received a B.S. degree in Electrical Engineering from Harvard University, MA, USA.

12:30 - 1:00 CST Lunch

1:00 - 2:00 CST Panel

Developing and Deploying AI for Production Applications

Join us for a panel discussion focused on challenges and solutions for developing and deploying AI models for use in production applications. Learn from the experiences of panelists who have integrated AI into new or existing offerings. Topics covered will include data management, responsible AI practices, fine-tuning models with customers’ proprietary data, and optimization for deployment.

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Presenting

Jack Erickson - Product Marketing Manager/Intel

Jack Erickson - Product Marketing Manager/Intel

Jack is a Product Marketing Manager for AI software at Intel, with a focus on easing adoption of AI development tools and frameworks. Prior to joining Intel, he held marketing, product management, and technical roles in electronic design automation software at MathWorks and Cadence Design Systems. He has a BSEE from Tufts University and an MBA from Worcester Polytechnic Institute.

Meryem Arik - Co-founder/TitanML

Meryem Arik - Co-founder/TitanML

Meryem is the co-founder of TitanML where they are building the next generation of AI infrastructure for the LLM era. TitanML helps clients deploy faster, cheaper, and more private LLM applications. Outside the world of AI, Meryem lends her energy and expertise to supporting diverse voices in the tech scene, mentoring female and minority group founders.

Ramtin Davanlou - CTO - Accenture & Intel Partnership/Accenture

Ramtin Davanlou - CTO - Accenture & Intel Partnership/Accenture

As a part of Accenture’s Applied Intelligence group, Ramtin Davanlou leads the development of global offering and solutions in analytics and artificial intelligence. His key responsibility is to drive growth in AI through innovation and thought leadership. He works with ecosystem partners and provides optimized solutions and technology architecture recommendations to clients in various industries.

Peter Ma - Co-founder/SiteMana

Peter Ma - Co-founder/SiteMana

Peter Ma is Co-Founder at SiteMana, an AI company that predicts anonymous visitor purchasing intent. He’s also part of Intel Software Innovator, TED speaker and Techstars Alumni.

Alex Porter - CEO/Mod Tech Labs

Alex Porter - CEO/Mod Tech Labs

Alex Porter, CEO of Mod Tech Labs, is an innovator in AI-powered real-time content. With a background in Interior Design and Construction Tech, she is driving the use of cutting-edge technology for visual experiences by bringing novel tools to market. As a Forbes NEXT 1000 Honoree, an Intel Top Innovator, and a member of the NVIDIA Inception Program, Alex contributes to the industry in many ways. Her work with standards organizations helps educate and grow opportunities in media technology.

2:05 - 2:35 CST Tech Talk

Accelerating Autoencoder Training with oneAPI: A Success Story

Learn how oneAPI acceleration transformed Autoencoder optimizing the performance of Mod Tech Labs Autoencoder models by enhancing accuracy and convergence rates and saving time and costs. MOD is a product for entertainment and media to predict visual quality for content. Intel’s servers and tools like IPEX optimized performance, handling large datasets efficiently. Collaboration with Intel’s team ensured successful implementation and speed of project completion. Key…

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Presenting

Alex Porter - CEO/Mod Tech Labs

Alex Porter - CEO/Mod Tech Labs

Timothy Porter - Co-Founder and CTO/Mod Tech Labs

Timothy Porter - Co-Founder and CTO/Mod Tech Labs

Tim is a Co-Founder and CTO of MOD Tech Labs, revolutionizing the industry with AI-powered technology. With a background in animation and technical development, he bridges art and technology. Tim creates innovative tools like MOD, streamlining production tasks and empowering studios. Recognized as an Unreal Fellow, he shares his vision for 3D content and AI solutions at conferences, inspiring others. Tim’s commitment to innovation makes him a pioneer in technology and creativity.

2:40 - 2:55 CST Lightning Talk

SYCLOPS: Scaling extreme analytics with Cross-architecture acceleration based on Open Standards

The wide-spread adoption of AI and analytics has resulted in a rapidly expanding market for novel hardware accelerators that can provide energy-efficient scaling of training and inference tasks at both the cloud and edge. Unfortunately, all popular solutions AI acceleration solutions today use proprietary, closed hardware—software stacks, leading to a monopolization of the AI acceleration market by a few large industry players. In this talk, I…

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Presenting

Raja Appuswamy - Assistant Professor, EURECOM

Raja Appuswamy - Assistant Professor, EURECOM

Raja Appuswamy is an Assistant Professor in the Data Science department at EURECOM–a French Grandes Écoles located in the Sophia Antipolis tech-valley of southern France. Previously, he was as a Researcher and Visiting Professor at EPFL, Switzerland, a Visiting Researcher in the Systems and Networking group at Microsoft Research, Cambridge, and as a Software Development Engineer in the Windows 7 team at Microsoft, Redmond. He received his Ph.D in Computer Science from the Vrije Universiteit, Amsterdam, where he worked under the guidance of Prof. Andrew S. Tanenbaum on designing and implementing a new storage stack for the MINIX 3 microkernel operating system. He also holds dual master’s degrees in computer science and Agricultural Engineering from the University of Florida.

2:55 - 3:10 CST Lightning Talk

Use the latest Intel® Hardware to Accelerate your AI Workloads on the new Intel® Developer Cloud

In this workshop, Kelli teaches you how to set up your Intel Developer Cloud environment for success. Learn about the benefits, how to’s, and tips and tricks on leveraging the latest Intel hardware on the newly released Intel Developer Cloud. Download Presentation

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Presenting

Kelli Belcher - AI Solutions Engineer/Intel

Kelli Belcher - AI Solutions Engineer/Intel

Kelli is an AI Solutions Engineer at Intel with over 5 years of experience across the financial services, healthcare, and tech industries. In her current role, Kelli helps build Machine Learning solutions using Intel’s portfolio of open AI software tools. Kelli has experience with Python, R, SQL, and Tableau, and holds a Master of Science in Data Analytics from the University of Texas.

3:10 - 3:20 CST Break

3:20 - 5:20 CST Workshop

Using PyTorch to Predict Wildfires

Forest fires pose a significant threat to ecosystems, wildlife, and human lives. Given their devastating consequences, the ability to predict forest fires plays a crucial role in mitigating their impact. Traditional methods have long been employed to forecast these fires, but with the advent of machine learning, we now have the potential to enhance our predictive capabilities significantly. In this workshop, we will walk through…

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Presenting

Bob Chesebrough - Technical Evangelist/Intel

Bob Chesebrough - Technical Evangelist/Intel

Robert Chesebrough is currently a Technical Evangelist in the Intel Developer Academy. His educational background is physics. His industry experience has been software development and application/performance engineering for fortune 100 companies and national laboratories for over three decades. He is a data scientist, using machine learning/ deep learning for eight years while working for Intel and other high-tech companies.

Rahul Unnikrishnan Nair - Machine Learning Architect

Rahul Unnikrishnan Nair - Machine Learning Architect

Rahul is a Machine Learning Architect at Intel with 10 years of experience in data science, Machine Learning, and applied Deep Learning. He joined Intel after completing his Master’s degree and has contributed to the OpenStack security group. Rahul has expertise in developing Deep Learning and Deep Reinforcement Learning algorithms optimized for Intel CPUs. He has worked on scaling Deep Learning pipelines on the cloud, collaborated with startups and OEMs, and optimized AI workloads on Intel hardware. Rahul has also led projects in developing an AI platform for drug discovery and played a key role in releasing deep learning containers at Intel.

5:20 - 5:30 CST Conclusion

Conclusion

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Presenting

Sri Ramkrishna - oneAPI Community Manager/Intel

Sri Ramkrishna - oneAPI Community Manager/Intel

Day 2

9:00 - 9:10 CST Introduction

Introduction

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Presenting

Sri Ramkrishna - oneAPI Community Manager/Intel

Sri Ramkrishna - oneAPI Community Manager/Intel

Ben Consolvo - AI Solutions Engineering Manager/Intel

Ben Consolvo - AI Solutions Engineering Manager/Intel

Ben Consolvo is an AI Solutions Engineering Manager at Intel. He has been building a team and a program around Intel’s AI technology paired with Intel’s HW offerings. He brings a background and passion in data science, particularly in deep learning (DL) and computer vision. He has applied his skills in DL in the cybersecurity industry to automatically identify phishing websites, as well as to the oil and gas industry to identify subsurface features for geophysical imaging.

9:10 - 9:25 CST Tech Talk

Intel Cloud Optimization Modules

In this talk, Ben will teach you about Intel’s newly released Intel Cloud Optimization Modules. These are a set of cloud-native open source reference architectures that help developers build and deploy Intel®-optimized AI solutions on leading cloud providers, including Amazon Web Services (AWS)*, Microsoft Azure*, and Google Cloud Platform* service. Each module or reference architecture includes a complete instruction set and all source code published…

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Presenting

Ben Consolvo - AI Solutions Engineering Manager/Intel

Ben Consolvo - AI Solutions Engineering Manager/Intel

9:30 - 10:15 CST Tech Talk

AI on Intel Architecture

This session offers an overview of the hardware and software which empower AI on Intel. First, we will introduce the hardware features used for AI on Intel. We will then get a first glance at the software stack harnessing them, namely the Intel® oneAPI AI Analytics Toolkit. Next, we will cover the Intel-optimized libraries for Machine Learning: Modin, Intel® Extension for Scikit-learn and XGBoost. Also…

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Presenting

Vladimir Kilyazov - AI Software Solutions Engineer/Intel

Vladimir Kilyazov - AI Software Solutions Engineer/Intel

Vladimir is an AI software solutions engineer with more than 5 years of experience in the AI field, who first joined Intel in 2017. He holds a Bachelor’s degree in Computer Science and a Master’s degree in Business Informatics from Higher School of Economics. Vladimir has worked in various fields including retail, medical, and enterprise. He has relevant experience in most popular AI domains such as computer vision, automatic speech recognition, machine learning. In addition to his day job, Vladimir mentors startups in Intel Ignite and Liftoff programs.

10:15 - 10:25 CST Break

10:25 - 12:25 CST Workshop

Building AI Super Reference Kits Workshop

In this workshop, participants will delve into the “Pharmaceutical Manufacturing Business” Super Kit. Developed from Intel’s original collaboration with Accenture on AI reference kits and Intel’s Edge AI Reference Kits, this Super Kit prototypes AI optimizations for the pharmaceutical sector, encompassing components for demand forecasting, predictive asset maintenance, visual anomaly detection, and generative AI chatbot functionalities. Through a live hands-on session, attendees will not only…

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Presenting

Eduardo Alvarez - Senior AI Solutions Engineer/Intel

Eduardo Alvarez - Senior AI Solutions Engineer/Intel

Eduardo Alvarez is a Senior AI Solutions Engineer at Intel, specializing in architecting AI/ML solutions, MLOps, and deep learning. With a background in the energy tech startup space, he managed a team focused on delivering SaaS applications for subsurface data analytics in hydrocarbon and renewable energy production. Eduardo collaborates across technical teams at Intel, designing impactful solutions that highlight the Intel software and hardware stack’s influence on AI innovation. He holds a degree in Geophysics from Texas A&M University and is recognized as an accomplished technical author and community leader in AI

Rachel Oberman - AI Software Solutions Engineer/Intel

12:25 - 12:35 CST Conclusion

Conclusion

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Presenting

Sri Ramkrishna - oneAPI Community Manager/Intel