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 #ICML2024 award winners
› #ICML2024 – tweet round-up from the first few days
› #RoboCup2024 – daily digest: 21 July
› #RoboCup2024 – daily digest: 20 July
› #RoboCup2024 – daily digest: 19 July
› What’s on the programme at #ICML2024?
› AI UK 2024 conference recordings now available to watch
› What’s coming up at #RoboCup2024?
› Interview with Sherry Yang: Learning interactive real-world simulators
› Interview with Yuan Yang: working at the intersection of AI and cognitive science
› AIhub monthly digest: June 2024 – network resource allocation, protein structure prediction, and a Ge’ez-Amharic-English dataset
› AI Fringe 2024 – event recordings available
› Interview with Tianfu Wang: A reinforcement learning framework for network resource allocation
› Congratulations to the #IJCAI2024 award winners
› Forthcoming machine learning and AI seminars: June 2024 edition
› Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity
› Interview with Henok Biadglign Ademtew: Creating an Amharic, Ge’ez and English parallel dataset
› AIhub monthly digest: May 2024 – causality and natural language, AfriClimate AI, and digital twins for smart cities
› European Union AI Act receives final approval
› #ICLR2024 invited talk: Priya Donti on why your work matters for climate more than you think
› Congratulations to the #ICRA2024 best paper winners
› Forthcoming machine learning and AI seminars: May 2024 edition
› What’s coming up at #ICRA2024?
› Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities
› Congratulations to the #ICLR2024 test of time and outstanding paper award winners
› Interview with Salena Torres Ashton: causality and natural language
› AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses
› Are emergent abilities of large language models a mirage? – Interview with Brando Miranda
› Interview with Mike Lee: Communicating AI decision-making through demonstrations
› Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems
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