So honored to be part of this list - "30 Influential Women Advancing AI in 2019" with Devi Parikh. And yes, we are advancing AI at Georgia Tech Computing Machine Learning at Georgia Tech Georgia Tech School of Interactive Computing

Can #AI be used to remove subjective bias in text like news articles? What problems arise when we alter or sanitize the message? How does AI itself perpetuate bias? We explore costs/benefits in the latest Interaction Hour w/ Ayanna Howard and Diyi Yang! 🔗apple.co/3b36uYz

🎉 Congratulations to CSE's own Prof. Duen Horng "Polo" Chau, CSE Alums Shang-Tse Chen Minsuk Kahng, and Georgia Tech School of Interactive Computing Prof Rahul Basole for their best paper nomination ACMTiiS! 🎉

Excited to share our #chi2020 paper "Understanding and Visualizing Data Iteration in Machine Learning"! We show how interactive interfaces can help practitioners iterate on data (equally important as iterating on models!) during ML development Apple. fredhohman.com/papers/20-cham…

Congrats to CSE PhD Austin Wright for being selected as a GT-GSU Public Interest Technology Fellow! Wright will collaborate w/ Prof Scott Jacques from Andrew Young School Georgia State University to develop data analysis & visualization tools to make crime & criminology data/trends more accessible.

Our new preprint "CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization" is live on arXiv! arxiv.org/abs/2004.15004 Try our interactive visualization in your browser to learn more about CNNs: poloclub.github.io/cnn-explainer/

Check out #MixText for text classification with limited training data

CSE Ph.D. student Austin Wright and Georgia State University Dept. of Criminal Justice and Criminology Associate Professor Scott(ie) Jacques are working together to make crime data more accessible and user friendly. Find out how at the link below: cc.gatech.edu/news/635715/ma…

Let's make complex ideas more interactive, playful, and understandable to everyone.💡 So excited to share this *interactive article about interactive articles* with Matthew Conlen, Jeffrey Heer, and Duen Horng "Polo" Chau that has been ~2 years in the making (and finishes out my PhD!).

Finally put up this list of links I've been collecting for the past year on enhancing mathematical notation design. ✍ Examples use techniques like Gestalt principles, direct annotation, and color. Please suggest examples I've missed! github.com/fredhohman/awe…

🏄‍♀️ For your surfing pleasure 🏄‍♂️ The Climate Issue: parametric.press/issue-02/ Our second issue brings you five articles analyzing our climate’s past, present, and future. Deepen your understanding with these personalized and interactive data stories created by our talented authors

It's wonderful to be part of this important education effort with NVIDIA AI Joe Bungo ! Thank you for partnering with us! Georgia Tech Computing Machine Learning at Georgia Tech Allen School News

While #EarthDay2021 may have just passed, Georgia Tech Computing researchers are rolling out a new tool that tackles #sustainability, reproducibility, and accountability at once. Read more about the #machinelearning #energy consumption tracker: #EnergyVis ⬇️ cc.gatech.edu/news/646832/ne…

Are you worried about AI based content moderation? Check out our paper in collaboration with Intuit Mailchimp and Machine Learning at Georgia Tech that I am very excited to present at #CSCW2021, or just check out the video at youtu.be/S2UPIfol-Zc dl.acm.org/doi/abs/10.114…

NeuroCartography draws maps of concepts learned by deep neural networks. Try it in your browser! Oct 27, Wed, 09:00 am CT link:poloclub.github.io/neuro-cartogra… By Haekyu Park Nilaksh Das Rahul Duggal Austin Wright Omar Shaikh Fred Hohman Duen Horng "Polo" Chau at #VIS2021. IEEE VIS

🥳Excited to see GT Visualization researchers honored by 3 IEEE VIS poster awards! Best Poster on autograding D3.js (1000+ Georgia Tech Computing students and counting!) nicely coincide with D3.js Test of Time award! Mike Bostock Vadim Ogievetsky Jeffrey Heer Jason Davies Fil @ https://bsky.app/profile/fil.rezo.net

Working in graph representation learning? Our #NeurIPS2021 MalNet database has 1.2M graphs, 15k nodes & 35k edges/graph, and 700 classes Thanks to Machine Learning at Georgia Tech Microsoft Research @facebookai collabs Yuxiao Dong J. Neil Duen Horng "Polo" Chau Site mal-net.org Paper bit.ly/2ZA1Ald