We are also looking to support a postdoctoral or graduate fellow to lead a project in historical document analysis using machine learning in collaboration with US Holocaust Museum. Please RT! datascience.si.edu/opportunities/…

This is a fantastic opportunity to do DH & CS research with not one but TWO incredible institutions! SI Data Science US Holocaust Museum

Learning how and which business problems to solve with machine learning takes practice. I ask myself Qs like these: - How might I use ML to solve this? What would the deliverable be? Who would use it, when, and how? And just as important: - How could I solve this without ML?

Congrats, Luis! @LJVillanuevaSci This is well-deserved.

I'm probably biased as a Smithsonian employee, but this video gives me serious goosebumps. Narration by SI Board member LLCOOLJ takes it to the next level.

Have been working hard the last couple months on an Intro to AI workshop with @ndalyrose Daniel van Strien and Mark Bell, and we're so excited to beta test it on March 30.

Do you know how bad I am at Twitter? I drafted this message for days, and then mistakenly tagged a dormant account with 1 follower instead of The Carpentries (at @[email protected]). 🤦Woops!

In collaboration with National Gallery of Art, we are looking for a graduate or postdoctoral fellow to lead a project in the Analysis of High-Resolution Art Imagery using computational tools. Please spread the word! More details here: datascience.si.edu/opportunities/…

This is so cool! Although I really hope the future Women's History Museum has an exhibit like this before ... 🔎🧐... March 2071.

Wow, this is the first time I've seen Streamlit functioning on Binder Team. This is definitely useful.

Happening today at 10:15 AM EDT! Tune into our panel discussion at dpo.si.edu/2022-program.

A huge thank you to Mike Trizna @elenustika Dr Meghan Ferriter and @stackkr for their insight and expertise on informatics tools for new methods of seeing, understanding, and enhancing collections at scale #SIDigi2022

Exciting to see this write-up in National Geographic: app built by our predoctoral fellow @AJRobillard to detect real vs. fake tortoiseshell products SEE Turtles nationalgeographic.com/animals/articl…

Excited to be presenting this afternoon on the work that our team at SI Data Science has been doing with Data-Centric AI at the Smithsonian

Please do take a few minutes to let us know what you want from the community this year.

New paper alert! Led by @AJRobillard Jessie Deichmann rebecca dikow Mike Trizna Alex White To address need for rapid species identification #RainForest We describe a deep learning image classifier to ID #Amazonian 🐟🐠🐡 from #museum and field📸 Smithsonian NMNH National Zoo onlinelibrary.wiley.com/doi/10.1002/ec…

Two of the current top trending datasets on the Hugging Face Hub are sourced from public-domain cultural heritage collections.