1 of 9

1

Welcome to the Workshop on

Enhancing Undergraduate Research with Machine Learning

​

Virtual Event

10/22/2022

​

AI is the new electricity. It will transform every industry and create huge economic value.

Andrew Ng, Professor at Stanford University,

Google Brain founder, Cousera co-founder, former Chief Scientist at Baidu

Supported by NSF award 2017072

2 of 9

2

Welcome!!

Turn on cameras

Join us for a group picture

If you feel comfortable please

We will follow up with access to all slides, event recordings, key links, and other materials.

3 of 9

3

Long-term Goal: Integrate (more) machine learning into undergraduate research programs.

Approach: Establish a community to help each other achieve the long-term goal.

Today’s Goal: Engage you in this community by sharing benefits of the long-term goal.

What is the Goal of Today’s Workshop?

4 of 9

4

Why is This Important Now?

Many aspects of research are being transformed by AI/ML

Undergraduates want/need more AI/ML training

AI/ML are transformative technologies – educators need to use them and teach them.

Huge potential impact for undergraduate research that integrates AI/ML

5 of 9

5

What are Artificial Intelligence and Machine Learning?

  • Artificial intelligence (AI) is intelligence demonstrated by machines
  • Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by using data.
    • This is not AI but enables most modern AI applications.
  • Most research applications actually leverage ML so that is our focus (but we consider them interchangeable here).

​

6 of 9

6

What does Machine Learning do?

Machine learning finds patterns in data and uses these patterns to predict behavior of new data. This is very powerful!

​

Linear regression

AI Protein Folding (AlphaFold)

Andrei Lupas, Max Planck Institute

https://www.science.org/content/article/breakthrough-2021

“This will change medicine. It will change research. It will change bioengineering. It will change everything,”

Y

X

Train

Predict

 

7 of 9

7

What does Machine Learning do?

  • See (label images, find objects)
  • Understand (follow voice, read/write text)
  • Draw (DALL-E, Stable diffusion)
  • Drive (self driving cars)
  • Play (chess, Go, poker)
  • Invest (stock market)
  • Socialize (Chatbots – Xiaoice has 660m users)
  • Judge (review resumes, review parole)

https://www.dailymail.co.uk/sciencetech/article-11184387/AI-artist-imagine-whats-outside-frame-famous-paintings-including-Girl-Pearl-Earring.html

Girl with a Pearl Earring, Vermeer

“completed” version

Changing every field!

8 of 9

8

The Value of Undergraduate Research

  • Trains in key skills outside the classroom: complex open problem solving, independent thinking, project management, time management, teamwork, presentation, writing.
  • These skills were always good but they are critical in the coming age of AI.

​

  • Undergraduate research can change your whole life (I have proof!).

Advisor: Amy Graves

9 of 9

The solutions are out there

  • Training materials (Courses, videos, tutorials, etc.)
  • Software (ML software, UG accessible tools)
  • Hardware (free or cost-effective computing)
  • Tech support (help when we are stuck)
  • Funding (many options for support)
  • Inspiration/motivation (many advocates)
  • Guides (many helpful and knowledgeable people out there)

​

​

9

The Opportunity and Challenges for ML and Undergraduate Research?

The Opportunity: Engaging UG in ML research can help UGs and researchers grow key skills and do amazing new research.

The Challenge: How do researchers get the necessary skills, resources, and time for this?

We need a community to help us!

https://smmirror.com/2017/11/beyond-the-index-ideological-diversity-and-community-conversations/

https://futureofwork.georgetown.edu/#