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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› 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
› #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
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