AIhub

Forthcoming machine learning and AI seminars: April 2026 edition ift.tt/WgQ4rHO

#AAAI2026 invited talk: machine learning for particle physics ift.tt/qWHmBOP

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup ift.tt/ny2tFIh

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King ift.tt/Nt1uj9F

A pleasure to sit down with Manuela Veloso to find out first-hand the history of RoboCup, and what’s next for the competition. @robocup_org aihub.org/2026/03/24/a-h…

A multi-armed robot for assisting with agricultural tasks ift.tt/S69rIZO

Resource-constrained image generation and visual understanding: an interview with Aniket Roy ift.tt/9e5YwvQ

RWDS Big Questions: how do we highlight the role of statistics in AI? ift.tt/BC8mOSc

A history of RoboCup with Manuela Veloso ift.tt/tBVEaKy

Information-driven design of imaging systems ift.tt/Du2lJP8

Machine learning framework to predict global imperilment status of freshwater fish ift.tt/cUvlji0

Interview with AAAI Fellow Yan Liu: machine learning for time series ift.tt/VDPX537

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence are now available to review online. The proceedings have been published in 48 consecutive issues which are all available here: aaai.org/proceeding/aaa…

A principled approach for data bias mitigation ift.tt/ecfTE9v

An AI image generator for non-English speakers ift.tt/QarCFWn

AI and Theory of Mind: an interview with Nitay Alon ift.tt/lcWgOSU

AIhub coffee corner: AI, kids, and the future – “generation AI” ift.tt/VjEe6Sg

AI chatbots can effectively sway voters – in either direction ift.tt/YVNPnZh

Studying the properties of large language models: an interview with Maxime Meyer ift.tt/sJhVe0S

What the Moltbook experiment is teaching us about AI ift.tt/U1KShMD