Thrilled to share @ninamiolane.bsky.social 's OpEd in @insidehighered.com with Annie K. Lamar! Open-source software and scientific infrastructure fuel discovery by removing barriers – not creating them. Time to start treating open science as the public good it is🔬💡

The way forward is to invest in true open-source software and infrastructure. Read our full oped w/ Annie K. Lamar @ucsantabarbara.bsky.social #publicvoices of TheOpEdProject: insidehighered.com/opinion/view... @geometric-intel.bsky.social @ai-ucsb.bsky.social @ucsbengineering.bsky.social

🙌 To be sure, *some* companies are truly dedicated to open-source. By generously sharing their resources, they have dramatically advanced science. It's time universities do the same.

👩‍🔬 Science advances slowly, across decades. Commercial tools, by contrast, advance quickly through mergers, pivots and quarterly earnings reports. Tethering our infrastructure to private companies is like writing knowledge in disappearing ink.

🦾 If we continue to rent the foundations of our knowledge from private companies, we should not be surprised when the floor gives way beneath us.

💵 Without proper funding structures, essential research tools remain fragile, often maintained by overworked volunteers. Universities must begin funding engineers at competitive salaries and recognizing software development as a legitimate form of scholarship.

👩‍💻 Universities are reluctant to fund software engineers at competitive salaries. A skilled engineer can earn 5x more in industry than in academia, yet most grants deprioritize dedicated engineering roles.

🤔 Much of modern research rests on tools and platforms maintained not by universities or public institutions, but by corporations whose priorities can shift overnight. Knowledge itself is being built on the shifting sand of corporate discretion.

We present graph-based neural surrogates that enable fast and uncertainty-aware emulation of global hybrid-Vlasov simulations via a probabilistic latent-variable model. Data + code are openly available, and compatible with advances happening in data-driven weather prediction!

Are you interested in ML for space/plasma physics? I'll be presenting “Graph-based Neural Space Weather Forecasting” this Saturday at the ML for physics workshop in San Diego @neuripsconf.bsky.social 🚀 📄 Paper: arxiv.org/abs/2509.19605 💻 Code: github.com/fmihpc/space... #AI4Science #ML4PS

A special thank you to @ucsantabarbara.bsky.social for the thoughtful article on HerBrain – capturing our mission and the importance of understanding how pregnancy shapes the brain 🧠 tinyurl.com/4939bxu5 #TIMEBestInventions #WomensBrainHealth @ai-ucsb.bsky.social @bowers-wbhi.bsky.social

Huge thanks to S. Kushner L. Pereira @adelemyers.bsky.social @louisacornelis.bsky.social L. Pritschet Sheila S. D. Martin de Blas H. Grotzinger I. Stelzer L. Chrastil K. Casaletto K. Jordan @susanacarmona.bsky.social @magdamartinezga.bsky.social @emilyjacobs.bsky.social 🧠

Really enjoyed this recent interview on my work with the Dodgers and how the @geometric-intel.bsky.social lab prepared me for it! Thank you for having me UCSB⚾️ Check it out here science.ucsb.edu/news/geometr...

Congrats to Sarah Kushner Luís F. Pereira @adelemyers.bsky.social @louisacornelis.bsky.social Laura Pritschet Sheila S. Daniel Martin de Blas Hannah Grotzinger Ina Stelzer Liz Chrastil Kaitlin Casaletto Kaya Jordan @susanacarmona.bsky.social @magdamartinezga.bsky.social @emilyjacobs.bsky.social 🧠

Thrilled to see HerBrain on #TIME Best Inventions of 2025! It shows how the anatomy of the brain changes week-by-week through pregnancy and postpartum 🧠 @geometric-intel.bsky.social @ai-ucsb.bsky.social @bowers-wbhi.bsky.social @neuromaternal.bsky.social !

Rumor has it Mother Nature might be the best AI engineer🌱💡 Come see why at Brass Bear Brewing, Nov 13 @ 6pm. With Dr. Fatih Dinc, we’ll dive into how brains, bots, and biology compute with intelligence

Huge congrats to Simon Mataigne and P.-A. Absil on two new papers out this month! 🎉 Bringing elegant math to life through algorithms on the Stiefel manifold and Riemannian barycenters🌐

The second paper called "On the Approximation of the Riemannian Barycenter" uses the bounds from the above article to compute approximations of the Riemannian barycenter at very low computational cost! link.springer.com/chapter/10.1...

The first paper called "Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics" studies the geometry of the Stiefel manifold to derive simple and insightful bounds on the computationally untractable geodesic distance. sciencedirect.com/science/arti...

🚀We’re recruiting PhD students for 2026! If you’re passionate about uncovering the geometric signatures of intelligence in brains🧠 and AI🤖, we’d love to hear from you! Join us in exploring the computations that power natural and artificial minds. 🌐✨

Details on our research and how to apply to our lab are on our website: gi.ece.ucsb.edu. We hope to hear from you! 👋 @uofcalifornia.bsky.social @ucsantabarbara.bsky.social @ucsbece.bsky.social @ucsb-cs.bsky.social @geometric-intel.bsky.social

From your desk you'll see dolphins, beach volleyball courts, surf spots & more importantly: your colleagues! @adelemyers.bsky.social @mathildepapillon.bsky.social @franciscoacosta.bsky.social @louisacornelis.bsky.social @abbybertics.bsky.social @bariskurtkaya.bsky.social and gi.ece.ucsb.edu/people

You are specifically interested in AI? 👉 Look at the AI Curriculum from the UCSB Real AI Initiative offered within the CS and the ECE departments. ai.ece.ucsb.edu/ai-ucsb @ai-ucsb.bsky.social @ucsbece.bsky.social @ucsb-cs.bsky.social @ucsbengineering.bsky.social

We are physicists, neuroscientists, mathematicians and computer scientists who study intelligence in biological and artificial neural networks and use our findings to build better AI models. 👉 You can join us via UCSB ECE, CS, Math or DYNS PhD programs!

Two more Nobel Prizes at @ucsantabarbara.bsky.social , congratulations !!

The UC sets a new world record with 5 Nobel Prizes this year!

We can't wait to see your innovative solutions! Full details on the tasks and data are on our site: 🔗 geometric-intelligence.github.io/topobench/td... #TDLChallenge #AI #ML #TAGinDS

A huge thank you to our partners! 🤝 💰 Cash prizes are sponsored by the brilliant team at Arlequin AI. 🏛️ Internships are hosted by the world-class UC Santa Barbara @geometric-intel.bsky.social and EPFL IMOS labs.

Prizes, research gigs, and a chance to twist data into new shapes with topology + ML? 👾 Count me in for the Topological Deep Learning Challenge 2025! 🌀 Who else is ready to expand the data universe?

Diving into topological deep learning🌀? Check out TopoBench — a unified framework for rigorous benchmarking of TDL models. Pleased to share it has been accepted to DMLR! Code & paper: geometric-intelligence.github.io/TopoBench/

Struggling with reproducible benchmarks in TDL? We’ve got you covered. 12+ models tested on 22+ diverse, cross-domain datasets. Tutorials to get you started with topology & higher-order homophily Webpage/Docs: geometric-intelligence.github.io/TopoBench/

Curious about topological liftings? TopoBench lets you experiment with them on your own data! We’ve included 20+ liftings from last year’s TDL Challenge @TAGinDS, @PyT_Team_. Explore them all in our Wiki: github.com/geometric-in... #TDA

At its core, TopoBench is a framework for robust and fair evaluation in TDL. We’re empowering researchers and practitioners to compare models with confidence and push the field forward, together.

For a deep dive into our framework for reproducible benchmarking, our methodology, and key findings, check out the full paper. Paper: arxiv.org/abs/246.06642 #MachineLearning #GNN #DataScience

This was a massive team effort! Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!

We can’t wait to see what the community builds with TopoBench! Star our repo, read the paper, and bring reproducibility to your TDL research. Contributions and feedback are welcome! #OpenSource #Python #AcademicTwitter

Cutting-edge AI4Science research with the ocean at your doorstep? I'm interested👓🥼 At UCSB, we build AI methods that accelerate discovery – from neuroscience to physics to healthcare. Join @ai-ucsb.bsky.social and help shape the future of AI4Science!

Our research is collaborative at heart: We work with neuroscientists, physicists, and healthcare professionals to design principled AI that is tailored to data-scarce scientific fields. You’ll join a vibrant AI community on the golden Californian coast @uofcalifornia.bsky.social 🌴

Discover our research: ai.ece.ucsb.edu/publications Apply: Send CV + coverletter 📩 to [email protected] 🕐 by Sept 15, 2025 to receive full consideration. We hope to hear from you! @ucsantabarbara.bsky.social @ucsb-cs.bsky.social @ucsbece.bsky.social @ucsbengineering.bsky.social

From the lab to the airwaves 🎙️: Our PI @ninamiolane.bsky.social joined Anita Okorie on Mind Over Matter for a fascinating conversation on geometric AI, brain complexity, and how neuroimaging is helping to understand neurodegenerative disease. 🎧 Listen here: tinyurl.com/mryct7h9

In the 20th century, non-Euclidean geometry transformed how we model the world with pen and paper. Now, it is disrupting how we model the world with machines. Learn more in our illustrated guide to non-Euclidean ML and AI👇

The updated version is also available on arxiv at arxiv.org/pdf/2407.09468

Thank you to the excellent team of editors @iopp-mlresearch.bsky.social and our referees for a truly productive peer review process. Highly recommend this up and coming journal for any unsubmitted topical reviews out there!

Made possible with the (equal) dedication of @naturecomputes.bsky.social Johan Mathe @louisacornelis.bsky.social and the contributions of @abbybertics.bsky.social , Domas Buracas, Hansen Lillemark, @christian-shewmake.bsky.social , @fatihdinc.bsky.social Xavier Pennec and @ninamiolane.bsky.social

Been waiting for this one😼! A beautiful, digestible guide to non-Euclidean ML — gorgeous visuals, clean tables, and clear explanations of topology, algebra, and geometry. Dive in 👇

🚨One of the coolest workshops in AI is back! NeurReps 2025 is calling for papers on symmetry, geometry & topology in neural networks 🧠📐 If your work bridges theory & structure — don’t miss this. 📅 Deadline: Aug 22

Featuring @haewonjeong.bsky.social and Yao Qin from @ai-ucsb.bsky.social !

Check out a new perspective from @ninamiolane.bsky.social on the role of human scientists in an era where discoveries by artificial intelligence are increasing 🧠👽

The era of artificial scientific intelligence is here. As algorithms generate discoveries at scale, what role remains for human scientists? 🤔 Thanks @plosbiology.org for publishing my perspective @ucsantabarbara.bsky.social @ai-ucsb.bsky.social @ucsbece.bsky.social @ucsb-cs.bsky.social 🌟

Watch the winning team's approach to predicting ADHD across sexes🧠👏Incredible work from this year’s champions!