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:


›   #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


›   2024 AI Index report published


›   Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita





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