Not only are Intel Software and SIGS DATACOM running a rendering online workshop, but they are also hosting an AI workshop, on 15 June 2021.

During this one day online workshop, you will learn actionable knowledge about how to get started with Artificial Intelligence, including classical Machine Learning as well as Deep Learning. The sessions are presented by senior AI software engineers from Intel and experts from the industry who will introduce you to the tools and practices needed to get the highest performance in AI training and inference on Intel processor-based systems.

This unique technical workshop is free to attend. Please register to reserve a seat.


9am BST: Introduction: Hardware acceleration for AI and Intel oneAPI AI Analytics Toolkit
Dr. Séverine Habert, Senior AI Engineer, Intel Software
In this session, we will first introduce the hardware features that are powering AI on Intel, we will then get a first glance at the software stack harnessing them, namely the Intel oneAPI AI Analytics Toolkit.

9:45am BST: How to accelerate Classical Machine Learning on Intel Architecture
Roy Allela, Senior AI Engineer, Intel Software
In this session, we will cover the Intel-optimised libraries for Machine Learning. Python is currently ranked as the most popular programming language and is widely used in Data Science and Machine Learning. We will begin by covering the Intel®Distribution for Python and its optimisations. We will then cover the optimisations for ML Python packages such as Modin, Intel Extension for Scikit-learn and XGBoost.
The presentations will be accompanied by demos to showcase the performance speedup.

11am BST: Optimise Deep Learning on Intel – Same code just faster!
Shailen Sobhee, Senior AI Engineer, Intel Software
In this session, we present to you what is behind the scenes of Deep Learning with the highly-optimised Intel oneDNN library in order to get the best-in-class performance on Intel hardware. We then show you Intel oneDNN in action in DL frameworks such as the Intel-optimised TensorFlow, Intel-optimised PyTorch and the Intel Extension for PyTorch (IPEX).

12pm BST: Lunch Break

12:30pm BST: Customer presentation by TNG Technology Consulting

1pm BST: Easily speed up Deep Learning inference – Write once deploy anywhere!
Dr. Séverine Habert, Senior AI Engineer, Intel Software
In this session, we will showcase the Intel Distribution of OpenVINO™ Toolkit that allows you to optimise for high-performance inference models that you trained with TensorFlow or with PyTorch. We will demonstrate how to use it to write once and deploy on multiple Intel hardware.

2pm BST: Customer presentation by Wahtari

2:30pm BST: Build the best models with SigOpt
Tobias Andreasen, Senior AI Engineer, SigOpt Team, Intel Software
SigOpt is a model development platform that makes it easy to track runs, visualise training, and scale hyperparameter optimisation for any type of model built with any library on any infrastructure.

3pm BST: Distributed Training
Shailen Sobhee, Senior AI Engineer, Intel Software
In this session, we first present to you the benefits and reasons of distributing (also known as scaling out) an AI workload on more than one compute node. We show you how this is done and what are the caveats you need to pay attention to in order to maintain scaling performance and model accuracy.

3:45pm BST: Questions and Answers

Sign up

You can register for the Intel oneAPI AI online workshop that takes place on 15 June 2021 here.

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