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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› The life of a dataset in machine learning research – interview with Bernard Koch
› What’s coming up at #AAAI2022?
› Forthcoming machine learning and AI seminars: February 2022 edition
› Bug bounties for algorithmic harms? – a report from the Algorithmic Justice League
› Our monthly digest now available in video form
› Hot papers on arXiv from the past month: January 2022
› AIhub monthly digest: January 2022 – new voices in AI, bug bounties, and arXiv hits two million
› #NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants
› #NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence
› Forthcoming machine learning and AI seminars: January 2022 edition
› Interview with Chien Lu: analyzing text documents with sophisticated covariates
› Hot papers on arXiv from the past month: December 2021
› Artificial intelligence in 2021: the AIhub roundup
› Hot papers on arXiv from 2021
› Some highlights from our focus on the UN SDGs
› AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures
› #NeurIPS2021 in tweets – highlights from the first week
› #NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean
› Forthcoming machine learning and AI seminars: December 2021 edition
› #NeurIPS2021 in tweets – highlights from the first two days
› Congratulations to the NeurIPS 2021 award winners!
› Hot papers on arXiv from the past month: November 2021
› AIhub monthly digest: November 2021 – avoiding hype, musical dissonance, and AI thanksgiving
› What’s coming up at NeurIPS 2021?
› Machine learning in chemistry – a symposium
› Machine learning for climate science and Earth observation – a webinar from Climate Change AI
› Stanford HAI 2021 fall conference: four radical proposals for a better society
› Forthcoming machine learning and AI seminars: November 2021 edition
› We are delighted to announce the launch of Scicomm – a joint science communication project from AIhub and Robohub
› Hot papers on arXiv from the past month: October 2021
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