Day 3 highlights a major shift in the machine learning research landscape: governance and evaluation are no longer niche topics, they have taken center stage as the field's core focus. As AI systems scale, building robust frameworks to assess, test, and govern these models is paramount. At Chirpn, we track these fundamental academic shifts to ensure the enterprise solutions we build are grounded in the latest validated standards for trust and compliance. Stay tuned for more insights as we unpack the cutting-edge research shaping the future of enterprise AI. #ICML2026 #AIGovernance #MachineLearning #EnterpriseAI #AIRetrieval #TechResearch
Machine Learning Governance Takes Center Stage
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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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JSM2026 is a great reminder of how fast statistical methodology is evolving, especially with all the cutting-edge sessions on AI, ML, and LLMs. It was so satisfying to present our center's work using Double Machine Learning to model counterfactual cash transfer scenarios. #JSM2026 @AmstatNews
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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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I recently had the opportunity to attend the seminar "Trust, Transparency, Optimization: Rethinking AI Systems for Real-World Adoption" as part of IIUC CSE FEST 2026, organized by the IIUC Computer Club. The session offered valuable insights into the challenges of deploying AI beyond the lab—highlighting why trust, explainability, and optimization are just as important as model performance. As someone passionate about AI and Machine Learning, it was inspiring to learn how these principles shape the development of reliable and impactful AI systems. Grateful to the organizers and speakers for such an insightful session. #AI #MachineLearning #ResponsibleAI #ExplainableAI #IIUCCSEFest2026 #LearningJourney
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ICML 2026 in Seoul was an incredible experience, especially as a high school student. One of the highlights was presenting our work, EditCLEVR, and discussing it with researchers interested in object-centric learning and interpretability. It was exciting to receive feedback and hear new perspectives on how we can better evaluate whether learned representations are genuinely meaningful and faithful. Beyond presenting, I enjoyed seeing the innovative research across the conference, particularly the emerging directions in concept-interpretable AI. The experience gave me many new ideas and made me even more excited to continue exploring interpretable and reliable machine learning. Paper: https://lnkd.in/gv37Gd8u #ICML2026 #MachineLearning #Interpretability #ArtificialIntelligence
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Perhaps the most intriguing paradox of integrating AI at work is that it requires us to lean in to what is uniquely human- the stuff AI can't entirely replace. Our latest blog from sideby explores how critical Professional Habits of Learning & Innovation (uniquely human skills) are to leveraging AI for Deeper Learning. Check it out, and let me know what you think! Link to blog: https://lnkd.in/gd4a2bW2
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A few busy weeks for me coming up. First, there's #Agile2026 with Denise, Joe, David, Tazeia and all my besties across the Agile Alliance community. (That's a separate post 😊) Then in August, a real special one with the NCPMI chapter. My first keynote session as Project Management Institute's new AI Insights and Engagement. During the conference, you can also come chat with me about all things #CPMAI, the PMI-CPMAI certification, the *ONLY* Standard for Artificial Intelligence in Portfolio, Program and Project Management, and your pet-vibe coded projects! Keriann S., Kathleen Walch, David Barros, Dr. Jung-Soo Kim, Yahiro Takegami, Davide La Valle, Irina Seperteladze, Peter Glynne, Ahmad Maharma, Hatim ZINE EL ABIDINE , PMP®, PMI-PBA®, ISLAM TANAS, Mohammed Thoufeeq, Farhan L., George Fountain Jr., Stacey (Hang) Reinke-Bui, Ivonne Mejía #ai #keynotes #projectmanagement
🎤 Keynote & Breakout Speaker Announcement! We’re excited to welcome Christopher “CP” Richardson to the 2026 NCPMI Annual Conference! CP will take the stage for the keynote "Lifelong Learning for Project Managers in AI” and lead the breakout session “Unlocking AI: Seven Patterns to Spark Your AI Journey.” From continuous learning to unlocking practical ways to approach AI, these are sessions project professionals won't want to miss. 📅 August 31, 2026 📍 Hilton Raleigh North Hills 🔗 Register today: https://champ.ly/a-Fqb0LO #NCPMI2026 #ProjectManagement #ArtificialIntelligence #AILeadership #ProfessionalDevelopment #ThePowerOfMORE
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Dive into the APO e-Course on Regulating Emerging Technologies! Explore regulation, global policies, and the balance between innovations in AI, machine learning, etc. and societal well-being. https://zurl.co/wirCU
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There are countless AI courses available today, but I think the most valuable ones are those that go beyond prompt engineering and focus on building complete AI systems. One learning path I found particularly well-structured covers topics such as Generative AI, RAG, Vector Databases, Advanced Retrieval, Multimodal AI, Agentic AI, and Multi-Agent Systems, using frameworks such as LangGraph, CrewAI, BeeAI, and AG2. If you're planning to transition into AI Engineering, here are some areas I'd recommend exploring. Learning is only one part of the journey; building real projects is where these concepts truly come together. What topics are you currently exploring in AI? #AI #AIEngineering #GenerativeAI #RAG #AgenticAI #MultiAgentSystems #SoftwareEngineering #MachineLearning
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Everyone is talking about AI. But do you actually understand how it learns? Episode 2 of Demystifying AI is here! This time, we're unpacking Machine Learning. What it is, the different types, why MLOps matters, and how the entire ML pipeline works, all through simple, intuitive explanations with no confusing jargon. If you've ever nodded along in AI conversations while secretly wondering what supervised learning or MLOps actually means, this one's for you. 🎥 Watch Episode 2 below and level up your AI fundamentals! https://lnkd.in/ekzcNc8i #ArtificialIntelligence #MachineLearning #MLOps #TechEducation #DemystifyingAI #TechLiteracy
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