ΑΙhub.org
Lucy Smith
I am the Managing Editor for AIhub, based in Bristol, UK. Prior to AIhub, I worked in academic publishing, which followed a short stint as a postdoctoral researcher. I have a PhD in Physics from the University of Exeter and spent my undergraduate days at the University of York.
recent posts:
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› #NeurIPS2023 in tweets – part one
› #NeurIPS2023 outstanding papers
› What’s coming up at #NeurIPS2023?
› Interview with Paula Feldman: generating 3d models of blood vessels
› The Wizard of AI – a film by Alan Warburton
› Forthcoming machine learning and AI seminars: December 2023 edition
› AIhub monthly digest: November 2023 – deconstructing sentiment analysis, few-shot learning for medical images, and Angry Birds structure generation
› An introduction to science communication at #NeurIPS2023
› Counterfactuals in explainable AI: interview with Ulrike Kuhl
› CLAIRE and euRobotics join forces on European AI “moonshot” proposal
› Forthcoming machine learning and AI seminars: November 2023 edition
› AI Fringe – watch on demand
› A critical survey towards deconstructing sentiment analysis: Interview with Pranav Venkit and Mukund Srinath
› AIhub monthly digest: October 2023 – probabilistic logic shields, a responsible journalism toolkit, and what the public think about AI
› Executive order on safe, secure, and trustworthy artificial intelligence
› AAAI Fall Symposium: Patrícia Alves-Oliveira on human-robot interaction design
› #IJCAI2023 distinguished paper: Interview with Maurice Funk – knowledge bases and querying
› Code to Joy: Why Everyone Should Learn a Little Programming – Interview with Michael Littman
› #ECAI2023 outstanding paper: Interview with Xuan Liu – multi-agent sparse reward tasks
› Interview with Marek Šuppa: insights into RoboCupJunior
› Forthcoming machine learning and AI seminars: October 2023 edition
› Congratulations to the #ECAI2023 outstanding paper award winners
› #ECAI2023 in tweets
› 2023 AI Song Contest entries online
› AIhub monthly digest: September 2023 – uncovering concepts in deep-learning models, pollinator policies, and all questions answered
› Exploring layers in deep learning models: interview with Mara Graziani
› Forthcoming machine learning and AI seminars: September 2023 edition
› Proceedings from #AIES2023 now available
› AIhub monthly digest: August 2023 – ML for biological research, methods in computational creativity, and conferences galore
› #ICML2023 invited talk: Shakir Mohamed on ML with social purpose
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