recent posts:

›   AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses

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›   Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

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›   Interview with Mike Lee: Communicating AI decision-making through demonstrations

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›   Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

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›   2024 AI Index report published

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›   Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

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›   Forthcoming machine learning and AI seminars: April 2024 edition

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›   AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks

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›   Interview with Amine Barrak: serverless computing and machine learning

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›   AI UK 2024: Camden Council case study

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›   Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

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›   Interview with Aaquib Tabrez: explainability and human-robot interaction

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›   Forthcoming machine learning and AI seminars: March 2024 edition

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›   Happy International Women’s Day!

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›   Catholijn Jonker wins the 2024 ACM/SIGAI Autonomous Agents Research Award

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›   #AAAI2024 invited talk: Milind Tambe – using ML for social good

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›   AIhub monthly digest: February 2024 – causal relations in text, applied reinforcement learning, and AAAI 2024

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›   #AAAI2024 in tweets: part two

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›   Congratulations to the #AAAI2024 outstanding paper winners

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›   #AAAI2024 in tweets: part one

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›   Congratulations to the #AAAI2024 award winners

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›   How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today

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›   Interview with Célian Ringwald: Natural language processing and knowledge graphs

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›   What’s coming up at #AAAI2024?

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›   Interview with Elizabeth Ondula: Applied reinforcement learning

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›   Forthcoming machine learning and AI seminars: February 2024 edition

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›   Long-term monitoring of bird flocks in the wild – interview with Kshitiz

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›   A list of resources, articles, and opinion pieces relating to generative AI models – February 2024 update

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›   Interview with Fiona Anting Tan: Researching causal relations in text

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›   AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models

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