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June 6
9:00 AM PDT

Accelerating Deep Learning Workloads in the Cloud and Data Centers


It takes a lot of time to search, install and set-up the environment for running deep learning (DL) workloads optimally. But now data scientists and deep learning practitioners have instant access to Intel optimized deep learning environments!

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Collaboration between Intel, major cloud service providers and hardware OEM partners resulted in the availability of pre-configured Intel optimized DL environments. This webinar will get you started using Intel optimized AI environments for your workloads, be it in the cloud or in your data center.

You Will Learn:

  • Intel’s AI software and hardware strategy
  • How to launch pre-configured virtual machines with Intel optimized Deep Learning Frameworks in the cloud (AWS, Azure and GCP)
  • How to run TensorFlow* CNN benchmarks with pre-configured Intel environments
  • Technical details of the Intel optimized solutions to accelerate deployment to the Data Center via OEM partners (Dell, Lenovo, HPE, Inspur)

Ravi Panchumarthy

Ravi Panchumarthy, PhD, is a Machine Learning Engineer at Intel's Artificial Intelligence Products Group. He collaborates with Intel's customers and partners to build and optimize AI solutions. He also works with cloud service providers adopting Intel's AI optimizations for cloud instances and services. Ravi has a PhD in Computer Science & Engineering from University of South Florida. His dissertation focused on developing novel non-Boolean computing techniques for computer vision applications using nanomagnetic field-based computing. He holds two patents and several peer-reviewed publications in journals and conferences.


June 20
9:00 AM PDT

Accelerated AI/DL inference on the 2nd Gen Intel® Xeon Scalable Processors using the Intel® Distribution of OpenVINO™ Toolkit


In this webinar, discover how to accelerate AI and deep learning on the 2nd generation Intel® Xeon™ Scalable processors using the new capabilities of the Intel® Distribution of OpenVino.

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Learn how the 2nd Generation Intel® Xeon® Scalable Processors, formerly Cascade Lake, features built-in Intel® Deep Learning Boost and delivers high-performance inference and vision for AI workloads. Understand the added capabilities of the Intel® Distribution of OpenVINO™ toolkit and how to use it to speed up deployment.

Rudy Cazabon, AI Developer Evangelist at Intel

Bachelor’s degree in Space Science (minor in Mechanical Engineering) from the Florida Institute of Technology; with graduate studies in Aerospace and Astronautics from Georgia Tech and Management Science from Stanford. Rudy has run a technical consultancy in 3D graphics, VR, and computer vision; and is an active volunteer in STEM K-12 programs and participates in academic venues such as ACM Siggraph.


July 10
9:00 AM PDT

Getting started with Reinforcement Learning Coach


Learn how to get up to speed with Reinforcement Learning Coach. See an example of a use case and an evaluation of the framework.

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Walk through of the existing agents and environments while exploring the extensibility of RL coach for your own project. The previous webinar, “Introduction to RL Coach Webinar,” is available on-demand.

Michael Zephyr is an AI Developer Evangelist within the Intel Architecture, Graphics and Software Group at Intel. He works on promoting various Intel technologies that pertain to machine learning and artificial intelligence and regularly speaks at universities and conferences to help spread knowledge of AI. Michael holds a bachelor's degree in Computer Science from Oregon State University and a master's degree in Computer Science from the Georgia Institute of Technology. He can often be found playing board games or video games and lounging with his wife and cat in his free time.


Webinars Now On-Demand

Did you miss a live webinar? Not to worry. All of the webinars have been recorded and are available to watch at your convenience. Check the box(es) to the webinar(s) you would like to view, enter your info to sign up if you have not registered already, and you will be mailed a link to view.

Introduction to Reinforcement Learning Coach

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Reinforcement Learning Coach (RL Coach) is a comprehensive framework that enables reinforcement learning (RL) agent development, training, and evaluation.

Join us for a webinar introducing Reinforcement Learning Coach. RL Coach is a comprehensive framework that enables reinforcement learning (RL) agent development, training, and evaluation. Learn the basics of what Reinforcement Learning is, what exactly is RL Coach, and how you can get started with using RL Coach.

Michael Zephyr is an AI Developer Evangelist within the Intel Architecture, Graphics and Software Group at Intel. He works on promoting various Intel technologies that pertain to machine learning and artificial intelligence and regularly speaks at universities and conferences to help spread knowledge of AI. Michael holds a bachelor's degree in Computer Science from Oregon State University and a master's degree in Computer Science from the Georgia Institute of Technology. He can often be found playing board games or video games and lounging with his wife and cat in his free time.

Introduction to the Intel® Distribution of OpenVINO™ Toolkit and WinML*

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In this webinar you will learn how real-time inference on the PC for visual workloads such as object detection, recognition, and tracking are now easily developed with Intel® Distribution of the OpenVINO™ toolkit and Windows Machine Learning API.

Rudy Cazabon - Bachelor’s degree in Space Science (minor in Mechanical Engineering) from the Florida Institute of Technology; with graduate studies in Aerospace and Astronautics from Georgia Tech and Management Science from Stanford. Rudy has run a technical consultancy in 3D graphics, VR, and computer vision; and is an active volunteer in STEM K-12 programs and participates in academic venues such as ACM Siggraph

Introduction to NLP Architect

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This webinar focuses on introducing the audience to Natural Language Processing (NLP) Architect, a Python library from the Intel® AI Lab for exploring the state-of-the-art deep learning topologies.

You will learn:

  • Intel’s AI Portfolio
  • What is Natural Language Processing
  • What is Deep Learning
  • Deep Learning Techniques with Natural Language Processing
  • How can NLP Architect be used
  • NLP Architect Library Overview

Abdulmecit Gungor has received Bachelor of Electronics Engineering and a minor degree in Mathematics from City University of Hong Kong with The S. H. Ho Foundation Academic achievement reward. He has worked as a research engineer, then completed his Master degree at Purdue. His interests are NLP application development on real life problems, text mining, statistical machine learning.

Sulaimon Ibrahim is a member of the Intel’s Technical Developer Evangelist team, focused on highlighting, training and showcasing Intel products and tools to developers worldwide. He currently focuses on Artificial Intelligence, developing coursework for Intel’s developer ecosystem and then delivering trainings for both industry and academic developers interested in using Intel’s optimized frameworks and libraries. Sulaimon has been in the tech industry for over 7 years and has a master’s Degree in Computer Science with researches in Data Mining.

Introduction to the 2nd Gen Intel® Xeon® Scalable Processor

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We will introduce the new 2nd Gen Intel® Xeon® Scalable processor with Intel® Deep learning boost and its benefits for Deep learning inference applications. We will demonstrate performance improvements with both the new embedded AI acceleration and software optimizations. We will also share examples of real world deployments including pointers to deploy Deep learning on Xeon.

Banu Nagasundaram is a product marketing manager with the Artificial Intelligence Products Group at Intel, where she drives overall Intel AI products positioning and AI benchmarking strategy and acts as the technical marketer for AI products including Intel Xeon and Intel Nervana Neural Network Processors. Previously, Banu was a product marketing engineer with the Data Center Group at Intel, where she supported performance marketing for Xeon Phi, Intel FPGA, and Xeon for AI; was a design engineer on the exascale supercomputing research team with Intel Federal; and worked at Qualcomm doing design verification of mobile processors. Banu holds an MS in electrical and computer engineering from the University of Florida and is working toward an MBA at UC Berkeley’s Haas School of Business.

Indu Kalyanaraman is a AI Performance Marketing Manager for Data Center products at Intel. She is responsible for driving performance analysis and product positioning for Machine Learning and Deep Learning workloads on Xeon and other data center products. In her previous roles at Intel, Indu worked on Workstation and Storage/Ethernet performance marketing; Indu also has broad engineering experience including managing a processor validation team. Indu holds an MS in Electrical and Computer Engineering from The Ohio State University

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