This video details how Pikaso (by Freepik) works. It is a relatively new AI picture generator based on human input. These currently exist through platforms like DALLE, but what makes Pikaso different is that you can have a simplistic sketch of what you want and move around objects to further customize the generated image. I think this is super cool and useful, specifically as someone who doesn't have the best artistic skills but has the creative vision.
I hereby solicit suggestions for the video of the day. Please email me your ideas with explanations. Selected entries will win 5 homework points. If your video is played at the beginning of class, you must also briefly explain something about the video and something about yourself - in person.
Voting is now open for the 2025-26 DSAC Election! It'll be open for quite some time (until Saturday, April 19th at 11:59 pm), and we'll send a few reminders before voting closes, so we encourage you to take the time to read all of our candidate statements before submitting your votes. Anyone, regardless of major, is eligible to vote as long as they've taken/are taking CPSC 223.Voting is important because the new DSAC will help influence curriculum and policy changes within the department! Here's some info about what DSAC does! The margin of victory last year was just two votes, so your vote could really change the outcome of the election!
Two important notes -- we really want to make sure the election is fair!
No campaigning is allowed. Again, non-candidates are allowed to share the general voting form (please do!) and encourage others to vote, but they cannot ask people to vote for specific candidates.
Email campaigning is specifically disallowed. All votes will be kept confidential! The only people who have access to the results are Tyler Schroder, Prof Kim, Dr. Slade, and Harry Jain.
Please direct any questions or issues with this form to Tyler Schroder.
We are excited to announce the Yale/UNC-CH Geophysical Waveform Inversion Competition on Kaggle! This competition invites participants to develop machine learning algorithms for estimating subsurface properties, such as velocity maps, from seismic waveform data.By entering this challenge, you'll have the opportunity to bridge the gaps in seismic analysis by combining physics and machine learning. Your participation could lead to significant advancements in full waveform inversion, which has applications in subsurface energy exploration, medical diagnostics, non-destructive material testing, and more.
Entry Deadline: June 23, 2025
Prizes:
1st Place - $12,000,
2nd Place - $10,000,
3rd Place - $10,000,
4th Place - $10,000,
5th Place - $8,000.This is a unique opportunity to showcase your skills, contribute to a critical area of research, and win substantial prizes. We look forward to seeing your innovative solutions and wish you the best of luck in the competition.
Best regards,
Lu Lu, Assistant Professor, Yale University
Youzuo Lin, Associate Professor, University of North Carolina at Chapel HillLu Lu Assistant Professor of Statistics and Data Science Faculty of Institute for Foundations of Data Science Faculty of Wu Tsai Institute Faculty of Center for Algorithms, Data, and Market Design at Yale Faculty of Center for Materials Innovation Yale Universityhttps://lugroup.yale.edu
I have reviewed all the project proposals. Let me know if you did not get an OK, aka, Complete.
I have added a section to the paper assignment explaining how to write a paper. Please review this.
AIMA Jupyter notebooks: