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:


›   #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


›   #ICML2023 tweet round-up


›   AIhub monthly digest: July 2023 – RoboCup, predicting dynamics of supercooled liquids, and a visually-grounded speech model


›   Interview with Roberto Figueiredo: the RoboCup experience


›   What’s coming up at #ICML2023?


›   All questions answered: Cybersecurity of AI and AI for Cybersecurity


›   Forthcoming machine learning and AI seminars: July 2023 edition


›   #RoboCup2023 in tweets – part 2


›   #RoboCup2023 in tweets – part 1


›   Interview with Leanne Nortje: Visually-grounded few-shot word learning


›   Exploring children’s rights and AI


›   What’s coming up at #RoboCup2023?


›   AIhub monthly digest: June 2023 – combining learning and reasoning, physics from videos, and the EU AI act


›   Interview with Simone Ciarella: using machine learning to study supercooled liquids


›   European parliament approves draft EU AI act


›   Forthcoming machine learning and AI seminars: June 2023 edition


›   Congratulations to the #IJCAI2023 award winners


›   AIhub monthly digest: May 2023 – mitigating biases, ICLR invited talks, and Eurovision fun


›   Latest AI announcements from the US Government include updated strategic plan


›   A list of resources, articles, and opinion pieces relating to large language models


›   #ICLR2023 invited talk: Data, history and equality with Elaine Nsoesie


›   Forthcoming machine learning and AI seminars: May 2023 edition


›   #ICLR2023 invited talks: exploring artificial biodiversity, and systematic deviations for trustworthy AI


›   AIhub monthly digest: April 2023 – addressing class imbalance, personalized reward functions, and ad hoc teamwork





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