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What is the #KempnerInstitute? Watch a short video feature to dive deeper into our mission and meet the researchers behind it: bit.ly/49ODO2K #AI #ML #NeuroAI #neuroscience @Harvard
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Kempner Institute at Harvard University
863 posts
Kempner Institute at Harvard University
@KempnerInst
The Kempner Institute for the Study of Natural and Artificial Intelligence at @Harvard University. RTs ≠ Endorsements
Cambridge, Mass Katılım Kasım 2022
349 Takip Edilen3.6K Takipçiler
"Blackout catastrophe" isn't always so catastrophic? Learn more in new work from #KempnerInstitute Research Fellow @d_g_clark 👇
David Clark@d_g_clark
Now in PRE: "Transient dynamics of associative memory models." I argue that the "blackout catastrophe" (the famous α≈0.14 transition) is not catastrophic when viewed from an out-of-equilibrium, dynamical perspective. Journal: journals.aps.org/pre/abstract/1… PDF: dclark.io/media/clark-pr…
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In a newly published study, the #KempnerInstitute’s Patrick Slade (@pjslade) and his team show that your gait may reveal your movement priorities — an insight that could guide smarter assistive tech.
Read more: kempnerinstitute.harvard.edu/news/what-your…
#medtech #neuroscience @hseas
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Kempner Institute at Harvard University retweetledi
Great talk by @OrgadHadas at @MIT_CSAIL today! Thank you for travelling all the way from @KempnerInst 😆
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Kempner Institute at Harvard University retweetledi
New preprint: "Linear equivalence of nonlinear recurrent neural networks"
arxiv.org/abs/2604.23489
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Kempner Institute at Harvard University retweetledi
Join us this Thursday to discuss how AI Scientists can empower scientific discovery with @scale_AI!
Together with @GaoShanghua and @marinkazitnik, we will share our recent work on ClawInstitute, how AI Scientists can be built with ToolUniverse, and a sneaky preview of some new work AutoScientists. Much more to come!
Link to register 👇
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📢 We're hiring!
The #KempnerInstitute is seeking Postdoctoral #AI Researchers to contribute to ambitious, team-science research at the frontier of modern machine learning and science.
Applications close June 8th.
Learn more & apply 👉 bit.ly/4dcs3XG
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@Harvard @bjpchoi @EmmaFinn314 @neilhshah15 @JohnathanSun1 @mweber_PU @blsabatini @MarkSellke @boknilev Tagging @seanmeng17 too!
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Congratulations to Benjamin Choi, Emma Finn, Sean Meng, Neil Shah and Johnathan Sun, the five Kempner-affiliated undergraduates among the 2026 winners of the Hoopes Prize @Harvard!
Read more: bit.ly/4tQwVc2
@bjpchoi @EmmaFinn314 @neilhshah15 @JohnathanSun1
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Great feature on Benjamin Choi, a #KempnerInstitute Undergraduate Research Experience student, whose project focused on applying the same #AI architecture behind #chatbots to clean up noisy gaps in #brainwave signals. Read more:
Harvard SEAS@hseas
From a mind-controlled bionic arm in high school to ML research at SEAS, the Kempner Institute, NASA and Johns Hopkins, Benjamin Choi shows how applied math and CS can turn noisy brain signals into real-world impact. bit.ly/3P2k7jM
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We're hiring!👀
The #KempnerInstitute is seeking an Educational Content and Curriculum Developer (Part-time/LHT) to help design and implement learning experiences at the intersection of #neuroscience and artificial #intelligence.💡
Learn more & apply: bit.ly/4teFAUE
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Kempner Institute at Harvard University retweetledi
What if you could trust your knowledge graph?
We present OptimusKG, a multimodal biomedical KG built from high-quality structured and semi-structured resources to preserve factual, type-specific metadata across molecular, anatomical, clinical, and environmental domains.
Highlights:
Integrates 65 heterogeneous resources grounded with 18 ontologies and controlled vocabularies using the BioCypher framework and the Biolink Model.
Contains 190,531 nodes across 10 entity types, 21,813,816 edges across 26 relation types, and 67,249,863 property instances encoding 110,276,843 values across 150 distinct property keys.
Independently validated using PaperQA3, a multimodal agent that retrieves and reasons over scientific literature.
Reproducible, deterministic and infrastructure-agnostic data pipeline with parallel execution.
Distributed as Apache Parquet files, providing a standardized resource for graph-based machine learning, knowledge-grounded retrieval, and biomedical discovery.
Built in collaboration with an interdisciplinary team of co-authors: @ayushnoori, @InakiArango, @JoacoPolo3, @SGRodriques, @andrewwhite01, David Clifton, @marinkazitnik
To learn more about OptimusKG, here are some useful links about the release:
Website: optimuskg.ai
Documentation: optimuskg.ai/docs
Code: github.com/mims-harvard/O…
Paper: arxiv.org/abs/2604.27269
Client: pypi.org/project/optimu…
Dataset: doi.org/10.7910/DVN/IY…
This work was conducted across @Harvard, @harvardmed, @HarvardDBMI, @EdisonSci, @KempnerInst, @harvard_data, @UniofOxford, @broadinstitute
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Kempner Institute at Harvard University retweetledi
Flow Equivariant World Models has been accepted to ICML 2026! Have a read if you are interested in memory representations in world models -- see you in Seoul! 🇰🇷
The biggest thanks to my collaborators @huskydogewoof @fnzhan0507 @du_yilun @t_andy_keller
Hansen Lillemark@hansenlillemark
State of the art World Models still lack a unified world memory for representing and predicting dynamics out of their field of view. Why is that, and how can we fix it? Introducing Flow Equivariant World Models: models with memory capable of predicting out of view dynamics!🧵⬇️
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#KempnerInstitute's @marinkazitnik featured in new @naturemethods article on #AgenticAI for science. Check out the article 👇
Marinka Zitnik@marinkazitnik
Agentic AI for science featured in @naturemethods: nature.com/articles/s4159…. We are still early, with many open challenges ahead, but it is exciting to see this direction continue to evolve, wonderful piece by @metricausa ToolUniverse — an open platform enabling AI agents to use scientific tools and databases at scale, by @GaoShanghua → aiscientist.tools ClawInstitute — shared research boards for long-running collaborative discovery where agents co-develop ideas over time, by @GaoShanghua @AdaFang_ → clawinstitute.aiscientist.tools Medea — an omics AI agent for large-scale biological reasoning and analysis, by Pengwei Sui → medea.openscientist.ai @HarvardDBMI @harvardmed @KempnerInst @broadinstitute
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📢 Applications for the Kempner AI Fellows Program are now open!
This program is designed for early-career researchers with strong technical preparation in modern machine learning. Applications close June 1st.
Learn more and apply 🔗 bit.ly/4ehVxWj
#KempnerInstitute
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Thanks to Azalia Mirhoseini (@Azaliamirh) of @Stanford and @RicursiveAI for a great talk at the #KempnerInstitute Seminar Series last week! Dr. Mirhoseini presented test-time scaling as a new frontier for #AI progress. 💡
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How does the brain track odor dynamics? Check out new insights from #KempnerInstitute's Venki Murthy (@VMurthyLab), Demba Ba (@dunbar_ba) and collaborators in research just published in @NatureComms
MCB_Harvard@MCB_Harvard
Sniffing Out Distance: How the Brain Tracks Odor Dynamics #Olfaction #Neuroscience mcb.harvard.edu/department/new… @luxorboero @JosephDZak @paul_masset @siddjakes29 @BTolooshams @VMurthyLab @RachelleGaudet @hseas @harvardbrainsci @KempnerInst
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NEW: Kempner Research Roundup: April 2026! 🧠💡
Discover the latest research in natural and artificial intelligence from the #KempnerInstitute:
bit.ly/48TbSxh #AI #NeuroAI #neuroscience
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Kempner Institute at Harvard University retweetledi
Congratulations, @AdaFang_! Wonderful recognition for your work on ATOMICA!
Learning Universal Representations of Intermolecular Interactions with ATOMICA
biorxiv.org/content/10.110…
Excited for what comes next!
Ada Fang@AdaFang_
Had a great time at the Eric and Wendy Schmidt Biomedical Science and AI Symposium today! Such an exciting community of biologists and AI researchers at @Schmidt_Center @broadinstitute. I am excited to share I was also awarded the First Prize Poster Award! 🥇 Check out my poster on ATOMICA here 👇
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Kempner Institute at Harvard University retweetledi
Check out our recent work on building a precise language description of video!
Zhiqiu Lin@ZhiqiuLin
Before AI can generate professional videos, it needs to see like a professional. We spent a year with 100+ content creators teaching AI to describe video like a filmmaker would. Introducing CHAI: Critique-based Human-AI Oversight for Building a Precise Video Language [CVPR'26 Highlight, Top 3%]. Try prompting a video generator for a dolly zoom, dutch angle, point of view, or camera roll. Most fall back to the same bland defaults: a push-in, a level shot, a third-person view. Why? These techniques require a language of cinema that current models rarely speak. We built that language: 1️⃣ Precise specification: 5-aspect structured captions co-designed with professional cinematographers covering subject, scene, motion, spatial, and camera dynamics 2️⃣ Scalable oversight: LLMs draft captions, humans critique what's wrong and how to fix it 3️⃣ Post-training recipes: Qwen3-VL-8B surpasses Gemini-3.1 and GPT-5 4️⃣ Video generation: fine-tuned Wan follows 400-word cinematic prompts with precise control Here's how each works 🧵 Work led by CMU and Harvard with @chancharikm, @du_yilun, and @RamananDeva. 📄 Paper: huggingface.co/papers/2604.21… 🌐 Site: linzhiqiu.github.io/papers/chai/
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