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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› Interview with Lea Demelius: Researching differential privacy
› Interview with AAAI Fellow Roberto Navigli: multilingual natural language processing
› Interview with Tunazzina Islam: Understand microtargeting and activity patterns on social media
› Report on the future of AI research
› #AAAI2025 social media round-up: part two
› Forthcoming machine learning and AI seminars: March 2025 edition
› Congratulations to the #AAAI2025 outstanding paper award winners
› #AAAI2025 social media round-up: part one
› Congratulations to the #AAAI2025 award winners
› Interview with AAAI Fellow Sriraam Natarajan: Human-allied AI
› AIhub monthly digest: February 2025 – kernel representation learning, fairness in machine learning, and bad practice in the publication world
› What’s coming up at #AAAI2025?
› An introduction to science communication at #AAAI2025
› Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies
› Interview with Kunpeng Xu: Kernel representation learning for time series
› The Children’s AI Summit – an event from The Turing Institute
› Forthcoming machine learning and AI seminars: February 2025 edition
› AIhub monthly digest: January 2025 – artists’ perspectives on GenAI, biomedical knowledge graphs, and ML for studying greenhouse gas emissions
› Interview with Yuki Mitsufuji: Improving AI image generation
› Playbook released with guidance on creating images of AI
› Interview with Erica Kimei: Using ML for studying greenhouse gas emissions from livestock
› 2024 digest of digests
› AIhub monthly digest: December 2024 – attending NeurIPS, multi-agent path finding, and tackling illegal mining
› AIhub blogpost highlights 2024
› AIhub interview highlights 2024
› 2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
› Interview with Andrews Ata Kangah: Localising illegal mining sites using machine learning and geospatial data
› #NeurIPS social media round-up part 2
› #NeurIPS2024 social media round-up part 1
› Congratulations to the #NeurIPS2024 award winners
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