CosmicAI
@CosmicAI_Inst
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Funded by the U.S. National Science Foundation and the Simons Foundation. Driving AI innovation to explore the cosmos.
Joined February 2025
Exciting news! Introducing AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy! A new benchmark developed by researchers CosmicAI is testing how well LLMs implement scientific workflows in astronomy and visualize results.
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Upcoming Hybrid Seminar - Oct 15th, 11AM CT! Encoding of Spectra and Time Series (Peter Melchior - Princeton University) & Strategies for variance reduction in spectral unmixing (Jordan Bryan, UVA) Zoom & in person at UVA's Astro Building https://t.co/5xKZJvOe5H
@NSF @SimonsFdn
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Viviana Acquaviva (Professor of physics at the City University of New York) delivering a Special Hybrid CosmicAI Seminar on Learning from simulations using ML/AI tools @SimonsFdn @NSF @CUNY @UTAustin
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Gave a talk @ Bloomberg on 2 recent papers: Performance Prediction for Long Generation https://t.co/AxYAneP06i & Aligning LLMs with Human Response Distributions https://t.co/sWTQ8675HW
@CosmicAI_Inst
@UTGoodSystems
@UTiSchool
@TexasScience
@UTexasResearch
@UTAustin
#TexasAI
arxiv.org
The ability to accurately predict how different population groups would answer subjective questions would have great value. In this work, we show that use of relatively simple supervision can...
Our CTO #DataScience Speaker Series welcomes @UTiSchool's @mattlease for a virtual talk with our #AI researchers today about the use of relatively simple supervision to greatly improve #LLM alignment across different population groups https://t.co/SBdkS0P7JQ
#GenAI #NLProc
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Upcoming Hybrid Seminar - Oct 1, 11AM CT! Machine Learning for Reviewer-Proposal Matching in ALMA Distributed Peer Review (John Carpenter, ALMA) & Compound AI Systems: How Publisher AI Helps Researchers (@hogandfox, https://t.co/aLB8H7Uy1T)
https://t.co/5xKZJvOe5H
@TheNRAO
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@sebajoed @Murtazahusaintx @StephaJuneau @paultorrey9 @gregd_nlp @jessyjli Learn more Website https://t.co/gahO3o61r5 Paper https://t.co/Ood6lR6oIB
@nyuniversity @NSF @SimonsFdn @OdenInstitute @UVA @TACC @NOIRLabScience @SLAClab
arxiv.org
Large Language Models (LLMs) are being explored for applications in scientific research, including their capabilities to synthesize literature, answer research questions, generate research ideas,...
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@sebajoed @Murtazahusaintx @StephaJuneau @paultorrey9 @gregd_nlp @jessyjli -are adequate at long-tail knowledge, focusing especially on the usage of domain-specific APIs and visualization generation -interact with a variety of data formats to create diverse visualizations that comply with expert standards
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@sebajoed @Murtazahusaintx @StephaJuneau @paultorrey9 @gregd_nlp @jessyjli AstroVisBench is the first scientific coding benchmark that evaluates whether models: -aid scientists amidst their own workflows when they do not know step-by-step workflows and may not know, in advance, the kinds of scientific utility a visualization would bring.
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AstroVisBench was created by @sebajoed, @Murtazahusaintx, Stella Offner, @StephaJuneau, @paultorrey9, Adam Bolton, Juan P. Farias, Niall Gaffney, @gregd_nlp, and @jessyjli.
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✅ Accepted as part of the NeurIPS Datasets and Benchmarks Track 2025! 🔎 Findings: Even the best LLMs struggle to execute scientific workflows.
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We’re hiring a CosmicAI Postdoctoral Fellow at @UTAustin! CosmicAI seeks to hire a postdoctoral fellow to conduct research modeling the astrochemistry of astrophysical systems. Duration: 2 Years (possible renewal for 3rd) Apply Sept 23-Nov 17 2025 https://t.co/lBcwcDe4la
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Special Hybrid CosmicAI Seminar Sept 24th 12-1pm CT! Title: Learning from simulations using ML/AI tools Speaker: Viviana Acquaviva (associate professor of physics at the City University of New York) Venue: Zoom & in person at UT, PMA 15.216B https://t.co/5Rj8jtcd64
@UTAustin
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Upcoming Hybrid Seminar - Sept 17, 11AM CT! Accelerating (Astro)chemical discovery with machine learned atomistic models & Computer Vision for Scientific Discovery (Kelvin Lee, NVIDIA) & Computer Vision for Scientific Discovery (Zezhou Cheng, UVA) https://t.co/5Rj8jtcKVC
@TheNRAO
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New research from CosmicAI led by UT Austin Researchers Keith Poletti, Stella Offner, and Rachel Ward tested whether a new type of neural networks can predict future states from simulated telescope images. Read the paper: https://t.co/FokEJtEh36
@SimonsFdn @NSF @UTAustin
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Save the date! Our fall hybrid seminar series “The Observable Universe” begins Sept 3rd! Bi-weekly on Wed. 11AM CT/12PM ET Seminar 1 | Sept 3rd “Imaging in Radio Interferometry - What do we measure, model and make decisions about?” w/ Urvashi Rau @TheNRAO
https://t.co/5Rj8jtcKVC
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Congrats to Stella Offner on earning a Cottrell Scholar Singular Exceptional Endeavors of Discovery (SEED) Award for 2025! #CottrellScholars #TexasScience #UTAustin @UTAstronomy @mcdonaldobs @CosmicAI_Inst
10 #CottrellScholars have won 2025 Cottrell SEED Awards from RCSA to advance high-impact research activities. https://t.co/h50mWGLHaW
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🚀Calling all astronomy educators! 🚀 👉 If you’re teaching astronomy or space science, we want to hear from you. Take our short survey to share how you’re using AI in your classroom, and how we can support you with resources and training. 🔗 https://t.co/KEhkNudvUC
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News from @allen_ai one of CosmicAI’s industry partners. They’re collaborating with the @NSF and @nvidia to develop fully open AI models "to develop fully open AI models to fuel U.S. scientific innovation"
nsf.gov
The U.S. National Science Foundation announced a partnership with NVIDIA to develop a set of artificial intelligence models that will transform the ability of America's scientists to leverage AI...
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5 days left to vote! Help bring our panel “Revolutionizing Astronomy + AI with Next Generation Big Data” to @sxsw — one of the world’s leading festivals for tech and innovation. Register for an account & vote by clicking the ❤️ - open til Aug 24!
Vote to bring NSF-Simons CosmicAI's panel “Revolutionizing Astronomy + AI with Next Generation Big Data” to SXSW! Vote by: 💻 Registering for a SXSW account ❤️ Then clicking the heart Open now til Aug 24: https://t.co/rcNEVftkqk
@CosmicAI_Inst @NSF @SimonsFdn
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Juliana Duncan is a Research Associate and Manager at TACC with a PhD in Computational Chemistry. At the Astro AI bootcamp she is covering a survey of supervised machine and deep learning techniques and their applications to astronomy data. @TACC
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