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AI Training Series: AI for Science at Scale – Introduction

AI for Science at Scale – Introduction
Thursday, June 15, 2023

Machine learning (ML) is a subset of Artificial Intelligence (AI) that uses statistical learning algorithms to build applications that have the ability to automatically learn and improve from its experiences. Most of us use ML in our day to day life when we use services like search engines, voice assistants, and recommendations on Netflix. In ML, an algorithm is trained by providing it with a significant amount of data and allowing it to learn more about the processed information.

Deep learning (DL) is a subset of ML that is inspired by the way a human brain filters information (like recognizing patterns and identifying objects). Since DL processes information in a similar manner as a human brain does, it is mostly used in applications that people generally perform (e.g., driverless cars being able to recognize a stop sign or distinguish a pedestrian from another object).

From a science point of view, both ML and DL can be applied to various scientific domains to analyze large datasets, handle noise correction, deal with error classification, and classify features in data.

As ML/DL models evolve to keep up with the complexity of the real world, a supercomputer’s resources get more and more valuable. In high-performance computing (HPC), ML/DL is getting more and more popular because of the sheer amount of data that needs to be processed and the computational power it requires.

This training will provide an introduction to AI/ML/DL principles used for science in an HPC environment. After learning the “basics”, participants will then be able to apply techniques learned to run hands-on examples using OLCF’s Ascent system (equivalent to 1 cabinet of the Summit system). Although examples will be provided during the presentation, hands-on participation during the event is not required, and it is highly recommended to try the hands-on examples after the event so that you do not miss anything.

Time Topic Speaker
1:00 pm – 1:45 pm EDT Statistical Learning and Deep Learning Sajal Dash (OLCF, Analytics & AI Methods at Scale)
1:45 pm – 2:00 pm EDT Scientific Applications and HPC Resources Sajal Dash
2:00 pm – 3:00 pm EDT Hands-on Examples w/ Space Group Data Sajal Dash

 

**Due to limited resources, only the first 50 registrants will be able to participate in the hands-on activities on Ascent. Others are still welcome to register and view the presentations. Materials used in the hands-on will be made available after the event for everyone**

**General registration will close upon reaching 100 sign-ups**

Registration
Joining Information

Joining information will be sent to you in a calendar event before the event.

Date

Jun 15 2023

Time

(EDT)
1:00 pm - 3:00 pm

Location

Webcast
Category

Organizer

Michael Sandoval
Email
sandovalma@ornl.gov
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