ΑΙhub.org
 

#IJCAI2019 main conference in tweets – day 2


by
14 August 2019



share this:

Like yesterday, we bring you the best tweets covering major talks and events at IJCAI 2019.

Talks

Paper and Poster Presentations

https://twitter.com/ShohrehHd/status/1161471117640343552

Demos

https://twitter.com/ShohrehHd/status/1161497465935343619

50 years old IJCAI panel discussion

Start of industry days

Women’s Lunch

 




Nedjma Ousidhoum is a postdoc at the University of Cambridge.
Nedjma Ousidhoum is a postdoc at the University of Cambridge.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Maryna Viazovska’s proofs of sphere packing formalized with AI

  27 Apr 2026
Formalization achieved through a collaboration between mathematicians and artificial intelligence tools.

Interview with Deepika Vemuri: interpretability and concept-based learning

  24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.

As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts

  23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

Causal models for decision systems: an interview with Matteo Ceriscioli

  21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence