Intel

Intel AI Academy Workshop Pisa

October 23 and 24, 2019

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Intel AI Academy Workshop – University of Pisa
October 23 and 24, 2019
Polo Fibonacci - L.go B. Pontecorvo 3, 56127 Pisa - Italy

Join us for the Intel® AI Academy series of artificial intelligence academic workshops in the University of Pisa. The workshop series is aimed for students pursuing professional or academic careers on the area of artificial intelligence. Register for one or more modules below.

Prior to the workshops, you should have:

  • A basic understanding of AI principles, machine learning, and deep learning
  • Coding experience with Python*
  • Some exposure to different frameworks – TensorFlow*, Caffe*, etc.
  • Optional introduction courses:

Select the workshops that you will attend.

Workshop I: Artificial Intelligence from Data Center to the Edge

Date: October 23
Time: 4:00 PM to 7:00 PM
Location: Aula C Polo Fibonacci, Edificio B

Speakers: Vishnu Madhu
Description: During this workshop, participants will explore the data science workflow for an image classification problem based on a real-world enterprise example. You’ll learn the best-known methods for assembling the ideal hardware and software combinations for the application, including deployment on a CPU, integrated graphics, and the Intel® Movidius™ Neural Compute Stick. Featured Topics: dataset preparation; framework selection; network architecture; software optimizations, model training and inference.
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Workshop II: Distributed Deep Learning with Nauta

SOLD OUT

Date: October 24
Time: 9:00 AM to 12:00 PM
Location: Sala Polifunzionale - Dipartimento di Informatica Polo Fibonacci, Edificio C

Speakers: Mariusz Gumowski
Description: Today containerized deep learning deployments require expertise to both setup the system and then scale across multiple nodes. Intel created Nauta, an opensource, multi-user, multi-node Deep learning training platform for Kubernetes. We bundled together open source components and Intel-extensions and validated the full-stack across a multi-node Xeon cluster - to provide a flexible, trusted, turn-key solution. In this session, we will show how easily a data scientist can perform TensorFlow training experimentation with Kubernetes and Docker orchestration. Using the popular public datasets and example scripts, we will kick off training experiments using the Nauta command line, nctl, view details and status with the web user interface, and test the trained model using Nauta and Jupyter Notebooks.
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Workshop III: Distributed AI with the Ray Framework

SOLD OUT

Date: October 24
Time: 4:00 PM to 7:00 PM
Location: Sala Polifunzionale - Dipartimento di Informatica Polo Fibonacci, Edificio C

Speakers: Stephen Offer
Description: Learn how to build large-scale AI applications using Ray, a high-performance distributed execution framework from the RISELab at UC Berkeley. Simplify complex parallel systems with this easy-to-use Python* framework that comes with machine learning libraries to speed up AI applications.
This workshop will provide you with practical knowledge of the following skills:

  • Use remote functions, actors, and more with the Ray framework
  • Quickly find the optimal variables for AI training with Ray Tune
  • Distribute reinforcement learning algorithms across a cluster with Ray RLlib
  • Deploy AI applications on large computer clusters and cloud resources

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Speakers

Vishnu Madhu is an AI Technical Solutions Engineer working out of Intel Munich. He provides guidance to businesses for designing and implementing AI solutions on Intel Hardware. He had been involved in the AI scene for the past 5 years and is passionate about learning and sharing his experience with the bigger AI Developer community.

Stephen Offer is an AI Program Manager Intern within the Intel AI Developer Program and attends Arizona State University. While working previously in aerospace and prosthetics, his primary interest is in machine learning, specifically reinforcement learning and distributed algorithms. His current research includes data parallelism inference and ensemble learning.

Mariusz Gumowski is a Design Leader of Nauta at the Intel’s AI Software Group, where he leads a team of developers and machine learning experts delivering innovative and cutting edge AI products to the enterprise. Previously Mariusz was an architect for the secured digital wallet, where he focused on topics regarding blockchain and wallet security. Over the span of his career, Mariusz was involved with the development of software at every level, from embedded microcontrollers to scalable data center architecture.

Location

University of Pisa
Polo Fibonacci
L.go B. Pontecorvo 3
56127 Pisa, Italy