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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

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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.

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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?

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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

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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).

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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

 

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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!

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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

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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)

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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/#