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AIhub editors are dedicated to providing free high-quality information about AI.
recent posts:
› AIhub coffee corner: World models
› The future of intelligence | Demis Hassabis (Co-founder and CEO of DeepMind)
› AERObotics: The Art of Catching Objects in the Air | Prof. Debasish Ghose | Robotics Café
› Leveraging Predictive Uncertainty for Model-Based Planning and Control | Prof. Arun Kumar Singh
› AI Isn’t as Powerful as We Think | Hannah Fry
› ChatGPT’s limits and AI’s potential | Michael Wooldridge
› Neural ODEs (NODEs) [Physics Informed Machine Learning]
› 2026 AI Index Report released
› Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence
› Iyad Rahwan: “The Science Fiction Science Method”
› Is RAG Still Needed? Choosing the Best Approach for LLMs
› Open Source AI In 17 Minutes
› RWDS Big Questions: How do we balance innovation and regulation in the world of AI?
› Multiplicity: The Curious Case of Arbitrariness in Machine Learning | AAAI-26 Educational Vid Winner
› What actually is AI? | AAAI-26 Educational Video Winner
› AAAI Presidential Panel on Factuality And Trustworthiness
› Google’s new VaultGemma model – Differential Privacy explained
› The Ethics of AI│Stuart J. Russell (University of California, Berkeley, Professor)
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› Is RAG Still Needed? Choosing the Best Approach for LLMs
› Bridging ML & AIT: Toward an Algorithmic Theory of Machine Learning via Kernel Methods
› A Pragmatic View of AI Personhood
› Ross D King – The Automation of Science 20250416 Webinar
› RWDS Big Questions: How do we balance innovation and regulation in the world of AI?
› Bridging ML & AIT: Toward an Algorithmic Theory of Machine Learning via Kernel Methods
› Open Source AI In 17 Minutes
› Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award
› Multiplicity: The Curious Case of Arbitrariness in Machine Learning | AAAI-26 Educational Vid Winner
› What actually is AI? | AAAI-26 Educational Video Winner
› Iyad Rahwan: “The Science Fiction Science Method”
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