We are excited for the workshop programme at #ICML 2026 to begin tomorrow. Six papers involving members of our lab are included in tomorrow’s workshop programme, across generative modelling, technical AI governance, probabilistic inference, agentic AI and decision-making. The workshop programme offers a valuable opportunity to explore emerging ideas and open questions across these rapidly developing areas. We are looking forward to seeing these ideas contribute to discussions across the ICML workshop programme.
ICML 2026 Workshop Programme Begins Tomorrow with Lab Contributions
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What are the key factors within a faculty or department that determine whether or not its members will use AI?
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For today's #throwbackthursday we look back to last March when participants explored the most pressing policy issues shaping the global AI landscape in Briefing for Impact: The AI Landscape. This half-day program combined expert analysis of the global AI landscape with practical strategies for communicating effectively. Learn more about this program at cs.is/briefingimpact or explore more programs at cs.is/execed.
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Stanford Researchers Release STORM for Automated Wikipedia-Style Knowledge Curation 📌 Stanford researchers have unveiled STORM, a groundbreaking multi-agent system that transforms simple topics into comprehensive, Wikipedia-quality research articles. By simulating diverse expert perspectives to overcome the limitations of single-prompt AI, this automated knowledge curation tool provides unprecedented depth and structural integrity. It offers a modular, open-source framework that marks a major leap forward in structured information synthesis. 🔗 Read more: https://lnkd.in/dB5x8Mu5 #Storm #Stanfordoval #Largelanguagemodels #Knowledgecuration #Automatedresearch
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Read my summary of what was another hugely enjoyable and successful Modelling World conference, as published in Local Transport Today this week. A few personal thoughts on progress in activity based modelling and AI, and the DfT's ambitious National Transport Analysis Platform plans. I was a bit naughty and snuck a number of secret modelling references into my introductory paragraph. See how many you can detect...
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MiniMax M3: A Deep Dive into an Open Source Multimodal AI Model In the dynamic and rapidly evolving landscape of artificial intelligence, a thorough understanding of model development and deployment is paramount.
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Continual learning is one of the core breakthroughs required to achieve Enterprise Super Intelligence (ESI). At Skyfall AI, we are building that foundation by shifting AI from static models that decay over time to dynamic systems that learn continuously in production. Earlier this month, we released Morpheus, which is the first continual reinforcement learning environment designed to make sustained, real-world adaptation possible. Grounded in the Big World Thesis, Morpheus reflects the fundamental truth that complex decision-making requires massive, evolving environments. Full research paper on OpenReview: https://lnkd.in/gKDtKmuJ
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A new open-access review article I co-authored is now available in Infrastructures: “Generative AI in Transportation Analytics: Foundations, Deep Generative Models, and Practical Use Cases” The paper reviews major generative AI model families and applications across transportation research. Congratulations to Samrad B., on leading this work. I also appreciate the continued guidance and support from Dr. Abdolmajid Erfani, as well as the collaboration with Ali Mansouri. Read the full paper here: https://lnkd.in/g5YDeF3A #GenerativeAI #TransportationEngineering #ArtificialIntelligence #TransportationResearch #CivilEngineering
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Dr. Guido Marchi is a member of the ATS #AI Task Force and helped launch the AI LAB at #ATS2026. "The advancement I most hope to witness is a true paradigm shift in respiratory medicine —from reactive diagnosis to proactive, longitudinal surveillance. I envision intelligent tools integrating environmental exposures, biological signals, imaging, and clinical data across a patient’s lifetime, detecting the earliest signs of disease long before symptoms appear. " - Don't we all - Brava! - read on!
Meet Guido Marchi, MD, a pulmonologist at Università di Pisa and a member of the ATS Task Force on Artificial Intelligence. Learn more about Dr. Marchi's research, how he contributed to the first ATS AI Lab, and more: https://lnkd.in/djeG4XQy
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Rethinking AI Infrastructure for the Age of Reasoning | Jeehoon Kang, FuriosaAI | RAISE Summit 2026..."Jeehoon Kang, Chief Research Officer at FuriosaAI, on rethinking AI infrastructure for the age of reasoning — what changes when models think longer before they answer." Recorded live on the Ada Lovelace Stage at the Carrousel du Louvre, Paris, on July 8, 2026. RAISE Summit is Europe's leading AI gathering, bringing together 9,000+ founders, executives, investors, researchers and policymakers. https://lnkd.in/egGdp8wX
Rethinking AI Infrastructure for the Age of Reasoning | Jeehoon Kang, FuriosaAI | RAISE 2026
https://www.youtube.com/
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🎙️ In a new episode of In the Arena, Allyson Klein sits down with WEKA's Jim Sherhart to discuss the launch of NeuralMesh 6 and WEKApod 3, why the inference economy demands a different approach to infrastructure, and the metrics that will define the next generation of AI. 👉 Watch now: https://weka.ly/4z2Gec7
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