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:


›   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


›   #IJCAI2023 in tweets: part 2


›   Congratulations to the winners of the the #IJCAI2023 distinguished paper awards


›   #IJCAI2023 in tweets: part 1


›   #AIES2023 – panel discussion on large language models


›   What’s on the programme at #IJCAI2023?


›   A list of resources, articles, and opinion pieces relating to large language models – August 2023 update


›   #AIES2023 tweet round-up


›   #ICML2023 invited talk: Jennifer Doudna on machine learning for biological research


›   Forthcoming machine learning and AI seminars: August 2023 edition


›   Researching interdisciplinary methods in computational creativity – interview with Nadia Ady and Faun Rice





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