ΑΙhub.org
 

Live Coverage of #NeurIPS2019

by
08 December 2019



share this:

The 33rd annual Conference on Neural Information Processing Systems (NeurIPS), happening this week in Vancouver, brings together more than 10k researchers and practitioners from all fields engaged in fundamental work in Machine Learning and Artificial Intelligence.

The conference features a week of talks, panels, workshops, demonstrations, and competitions, as well as the NeurIPS EXPO presenting work in AI ML done in an industrial setting.

Stay tuned as we bring you the latest tweets and stories, or follow on twitter at #NeurIPS2019 and @NeurIPSConf.

Are you presenting work at NeurIPS this year? We’d love to hear from you, just email Sabine with a blog post.



tags:


Sabine Hauert is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
Sabine Hauert is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org




            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