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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› 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
› What’s coming up at #NeurIPS2024?
› An introduction to science communication at #NeurIPS2024
› AIhub monthly digest: November 2024 – dynamic faceted search, the kidney exchange problem, and AfriClimate AI
› The Turing Lectures: Can we trust AI? – with Abeba Birhane
› The Kidney Exchange Problem: Interview with Úrsula Hébert-Johnson, Chinmay Sonar and Vaishali Surianarayanan
› Online hands-on science communication training – sign up here!
› Harnessing AI for a climate-resilient Africa: An interview with Amal Nammouchi, co-founder of AfriClimate AI
› Forthcoming machine learning and AI seminars: November 2024 edition
› Congratulations to the #ECAI2024 outstanding paper award winners
› AIhub monthly digest: October 2024 – Nobel Prizes, the AI Song Contest, and towards safe and reliable AI agents
› Tweet round up from #ECAI2024: part 2
› Interview with Pulkit Verma: Towards safe and reliable behavior of AI agents
› Tweet round-up from the first few days of #ECAI2024
› #AIES2024 conference schedule
› #IROS2024 – tweet round-up
› What’s on the programme at #ECAI2024?
› ICRA@40 mini interviews from RockingRobots
› What’s coming up at #IROS2024?
› Nobel Prizes in physics and chemistry awarded for machine learning research
› An introduction to science communication at #IROS2024
› Forthcoming machine learning and AI seminars: October 2024 edition
› AIhub monthly digest: September 2024 – real-time payments, evaluating dataset diversity, and AfriClimate AI at the Deep Learning Indaba
› Interview with Katherine Mayo: An agent-based analysis of real-time payments and fraud risk mitigation
› Interview with Jerone Andrews: a framework towards evaluating diversity in datasets
› A list of resources, articles, and opinion pieces relating to generative AI models – September 2024 update
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