Latest posts tagged with #CausalAI on Bluesky
I'm happy to share that I’ve been appointed Professor of Empirical Economics & Data Science at the Technical University of Munich (TUM), Campus Heilbronn.
After 9 years abroad, it's great to be back in DE. Looking forward to building a team and working on #CausalAI in this fast-growing ecosystem.
#CausalAI #rag #graph #agentic #AIAgent #vectors #AI #agentarium #cognitive_infra #dataset #OpenSource #agentic_rag #cognition #HuggingFace #ResponsibleAI
I learned today, with great sadness, that Joe Halpern has passed away. His contributions shaped the foundations of #CausalAI and influenced so many of us. A profound loss for the community. www.cs.cornell.edu/home/halpern/
📢 Registration is open for the 2026 Symposium of Causal Inference in the Health Sciences, hosted at Fribourg University on March 18. This year’s focus is on AI/machine learning in causal inference for health sciences/economics - register here: projects.unifr.ch/pophealthlab... #CausalAI
Do valuations cause crashes? Use Causal AI & EODHD data to prove how profitability and beta drive downside risk during market shocks. Move beyond correlation. #causalai
It was a pleasure meeting Quentin Gallea, at ISM University of Management and Economics in Vilnius today. Quentin kindly showed me around the ISM campus, and we had a great discussion on one of the most exciting topics in data and machine learning right now: #CausalAI.
Decision traces show: "We approved exceptions when conditions X, Y, Z occurred."
But did X cause the approval? Or did it just coincide with end-of-quarter flexibility?
Without causal models, agents can't predict, can't explain, can't learn.
#CausalAI #AIEthics
Yesterday I gave a keynote at the #Causality for Impact workshop at #EurIPS in Copenhagen. We discussed key barriers to real-world impact in #CausalAI — spanning ML, representation learning & discovery. Thanks to Ruth Keogh, Gustau Camps-Valls & the fantastic organizers!
impact-25.causal.dev
"The dramatic valuation increase [...] reflects a fundamental transformation in Alembic's technology and market positioning since its previous funding round." #CausalAI 📈
venturebeat.com/ai/alembic-m...
Happening right now! It's not too late to log in an see these two giants debate live an extremely relevant topic for the #CausalAI community. #CDSM2025
Please share🔉 We’re #hiring #AI #Engineers
@columbiaseas.bsky.social @cancerdynamics.bsky.social
🚀Join us to build foundation models that learn & reason about cancer systems, integrating #LLMs #causalAI and multi-modal #genomics. Shape the next-generation of cancer therapies! tinyurl.com/5n7wp8ck
Top Machine Learning Trends to Watch in 2024 #explainableAI #datasciencetrends #tinyML #largelanguagemodels #AutoML #MLOps #AItrends #AIinbusiness #futureofmachinelearning #causalAI
Great morning here in Copenhagen talking about how #CausalAI is transforming the way industries make data-driven decisions.
Big thanks to Felix and the team at ADC Consulting for the invite — and for the excellent breakfast. ☕️🥐
Causal Disentanglement Boosts Monte Carlo Planning for Complex MDPs
The SD‑MDP framework splits causal graphs into independent sub‑graphs, cutting planning complexity to O(T log T) and integrating with Monte Carlo Tree Search. getnews.me/causal-disentanglement-b... #causalai #mdp #mcts
Causal AI Model Detects AMD Risk Factors
Researchers unveiled GCVAMD, a causal AI system that extracts hidden causal factors from raw OCT scans, identifying drusen and neovascularization. The model was submitted in October 2025. Read more: getnews.me/causal-ai-model-detects-... #gcvamd #amd #causalai
Estimand‑Agnostic Do‑Shapley Advances AI Explainability
A new estimand‑agnostic framework removes the need to pre‑define causal estimands for do‑Shapley and adds a fast algorithm that cuts runtime on large causal graphs. Read more: getnews.me/estimand-agnostic-do-sha... #explainability #causalai #shap
Causal Reasoning Boosts LLM and LRM Performance, Study Finds
A Sep 2025 study shows RLVR‑trained language reasoning models improve causal alignment versus standard LLMs or distilled LRMs; code is on GitHub. Read more: getnews.me/causal-reasoning-boosts-... #causalai #rltraining
Causal AI Framework Boosts Multimodal Clinical Data Analysis
By treating missing discharge summaries as informative cues, a new causal AI framework raises readmission prediction AUC by up to 13.8%, while 24.5% of ICU patients lack such notes. Read more: getnews.me/causal-ai-framework-boos... #causalai #multimodal
Graph-Based Reasoning (GRID) Boosts AI-Driven HVAC Fault Diagnosis
The new GRID framework reached perfect F1 = 1.00 on three controlled HVAC benchmarks and scored 0.89 on the ASHRAE dataset, showing strong causal fault diagnosis. Read more: getnews.me/graph-based-reasoning-gr... #grid #hvac #causalai
Causal‑Counterfactual RAG Boosts Retrieval‑Augmented Generation
Causal‑Counterfactual Retrieval‑Augmented Generation adds causal graph integration and counterfactual reasoning to RAG, aiming to improve coherence and cut hallucinations. getnews.me/causal-counterfactual-ra... #retrievalaugmentedgeneration #causalai
A Brand-New Book on Causal AI (FREE)
Elias Bareinboim is an Associate Professor of Computer Science at Columbia University and the director of the CausalAI Lab.
1/n
#CausalSky #CausalAI
🎓Had a great week at the Joint Vienna Institute teaching #DAGs and #CausalAI to colleagues from the Austrian National Bank. Excellent discussions, lots of curiosity, and great engagement throughout.
Many thanks to Michael Sigmund for the invitation! 🙏
I'll send your friend a book.
When I visited my parents over the weekend, my father showed me this:
It’s his collection of every available translation of my book.
He orders each one from...
1/ 👇🏼
#FreeBook #Causality #CausalAI #CausalSky
Our following paper will appear in the proceedings of the 47th EMBC 2025.
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
arxiv.org/abs/2502.08282
#CausalAI, #Causality #TreatmentEffects #PersonalisedTreatments
5/5 What's needed is a systematic move toward #causalAI. That's why I'm glad to see the folks at geminos.ai taking a broader approach—one that moves beyond today's purely associational machine learning and toward building systems with true understanding and measurable impact. 📈
🎉 Well Done Matthew Sperrin! 🎉
We’re proud to announce that our Manchester Spoke Lead for CHAI, Matthew Sperrin, is now a Professor of Biostatistics and Health Data Science!
Please join us in congratulating Matthew on his new title of Professor 🌟
#Milestone #CHAIHub #Innovation #CausalAI
We are delighted to share our 1st paper (preprint) "Beyond Correlations: The Necessity and the Challenges of Causal AI", which is a roadmap for #AI researchers into the world of #CausalAI. It outlines the rationale and motivation for integrating #causality into AI.
www.techrxiv.org/doi/full/10....
📢 Dr. Jessica Schrouff has joined our Independent Advisory Board!
Jessica is a Director of Responsible AI at GlaxoSmithKline (GSK) in London.
We look forward to working with Jessica and welcoming her to the CHAI community.
#CHAIHub #AIInnovation #CausalAI #Healthcare #Collaboration
📢Join Us for a workshop funded by our Events and Workshop Fund on Monday 6th of October!
📍St Lukes Chapel, University of Oxford
🎟️ www.eventbrite.co.uk/e/causal-ai-...
Funding information: www.chai.ac.uk/eventsfund
#CHAIHub #AIInnovation #CausalAI #Healthcare #EventSuccess #Collaboration
