ΑΙhub.org
 

Our monthly digest now available in video form

by
07 February 2022



share this:
tiger and panda reading screen

Welcome to our monthly digest in video form. Here, we present some of the AI research stories, events and news from the month past. These all featured in our text version of the monthly digest, which we published last week.

This month, we cover our new series New voices in AI, find out about bug bounties, and celebrate an arXiv milestone.


Read the January 2022 monthly digest here.

Find our back catalogue of monthly digests here.

To suggest research, news, events or other AI-related content that we should feature in the next digest, please do drop us an email.




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



PeSTo: an AI tool for predicting protein interactions

The model can predict the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules.
01 June 2023, by

Tetris reveals how people respond to an unfair AI algorithm

An experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceive the other player as less likeable, regardless of whether a person or an algorithm allocates the turns.
31 May 2023, by

AIhub monthly digest: May 2023 – mitigating biases, ICLR invited talks, and Eurovision fun

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 May 2023, by

Latest AI announcements from the US Government include updated strategic plan

Find out more about the latest initiatives pertaining to responsible AI in the USA.
26 May 2023, by

Interview with Haotian Xue: learning intuitive physics from videos

A framework for learning 3D-grounded visual intuitive physics models from videos of complex scenes.
25 May 2023, by

Using engineered bacteria and AI to sense and record environmental signals

Synthetic biologists engineer bacterial swarm patterns to visibly record environment and use deep learning to decode patterns.





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association