OAK SUPERCOMPUTING CONFERENCE WORKSHOPS

The 黑洞社区 High Performance Computing center is hosting a variety of workshops for 3rd OAK Supercomputing Conference at the 黑洞社区 main campus in Wichita, KS May 21-23.  Conference details and reigstration can be found here:  /services/hpc/oaksupercompute2024/index.php

Fundamentals of Deep Learning (Offered by NVIDIA)

(Open to faculty, researchers, post-doc, graduate and under-graduate students)

Instructor:  Name, NVIDIA 
Description:

Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software.

 

In this workshop, you鈥檒l learn how deep learning works through hands-on exercises in computer vision and natural language processing. You鈥檒l train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You鈥檒l also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.


Registration: Required.

Important Note: This is a hands-on only workshop. Laptops will not be provided; you must bring your own in order to participate. This workshop runs from 8:30 am - 5:30 PM; late admittances will not be allowed.

Parallel Computing with MATLAB (Offered by MathWorks)

(Open to faculty, researchers, post-doc, graduate and under-graduate students)

Details:

During this hands-on workshop, we will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading compute. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you'll encounter when using them.


Registration: Required.

Important Note:

MathWorks instructors and teaching assistants (TAs) will be available throughout the session to guide you. Please bring your laptop and install the Google Chrome browser beforehand.

This is a hands-on workshop. Laptops will not be provided; you must bring your own in order to participate. This workshop runs from 8:30 AM - 12:30 PM; late admittances will not be allowed.

AI for Predictive Maintenance (Offered by MathWorks)

(Open to faculty, researchers, post-doc, graduate and under-graduate students)

Details:

Artificial intelligence (AI) is rapidly becoming a critical component of many engineering systems and disciplines today. In the field of predictive maintenance, AI is being used to design and develop smarter ways to perform anomaly detection, identify faults, and estimate remaining useful life of machines.

In today鈥檚 hands-on workshop, you will write and execute code examples in MATLAB Online 鈥� entirely in the browser 鈥� to learn and explore how to apply principles of AI to predictive maintenance: machine learning, deep learning, feature extraction, and domain-specific data processing.

This interactive hands-on session will include the following:

  • Familiarizing yourself with MATLAB Online and AI tools with an introductory example that trains a machine learning model to classify faults
  • Exploring how to extract features in the time and frequency domains, and rank them to obtain the most relevant features to train your AI model
  • Diving deep into an advanced, predictive maintenance workflow that covers anomaly detection and remaining useful life estimation

Registration: Required.

Important Note: 

MathWorks instructors and teaching assistants (TAs) will be available throughout the session to guide you. Please bring your laptop and install the Google Chrome browser beforehand.

This is a hands-on workshop. Laptops will not be provided; you must bring your own in order to participate.

Using MATLAB with Python (Offered by MathWorks)

(Open to faculty, researchers, post-doc, graduate and under-graduate students)

 

Details:

Do you need to use MATLAB and Python together? MATLAB provides flexible, two-way integration with many programming languages, including Python. In this hands-on workshop, you鈥檒l learn how to use Python from MATLAB with practical examples. Specifically, you鈥檒l learn how to:

  • Call Python libraries
  • Call user-defined Python commands, scripts, and modules
  • Manage and convert data
  • Package MATLAB algorithms to be called from Python

Registration: Required.

Important Note: 

MathWorks instructors and teaching assistants (TAs) will be available throughout the session to guide you. Please bring your laptop and install the Google Chrome browser beforehand.

This is a hands-on workshop. Laptops will not be provided; you must bring your own in order to participate.