ΑΙhub.org
Watch the invited talks (and much more) from #NeurIPS2019
Couldn’t make it to NeurIPS this week in Vancouver? Or simply unable to make your way to every exciting talk through the maze of 16k participants? Luckily, many of the sessions are available online.
To get started, we’ve embedded the invited talks below.
How To Know – Celeste Kidd
Veridical Data Science – Bin Yu
Machine learning meets single-cell biology: insights and challenges – Dana Pe’er
Social Intelligence – Blaise Aguera y Arcas
From System 1 Deep Learning to System 2 Deep Learning – Yoshua Bengio
Agency + Automation: Designing Artificial Intelligence into Interactive Systems – Jeff Heer
We’ll be featuring paper awards in a future post, so stay tuned.
Did you want us to feature your research? Send me an email with your blog post.
tags: NeurIPS
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
AUAI is supported by:
Related posts :
Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir
Lucy Smith
09 Oct 2026
In the latest of our interviews with the IJCAI-ECAI 2026 doctoral consortium participants, we learn about how cybersecurity attack and defence behaviours evolve.
2026 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
08 Oct 2026
We collate our interviews with the 2026 cohort of doctoral consortium participants.
Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
Lucy Smith
07 Oct 2026
Our series hearing from the IJCAI-ECAI doctoral consortium participants continues.
Can you teach yourself to detect AI writing? Maybe
The Conversation
06 Oct 2026
Before generative AI, we could generally assume that written text had been composed by a human. This is no longer the case. So how can we spot AI-written text?
Interview with William Yijiang Li: vision language models and the physical world
Lucy Smith
05 Oct 2026
How effective are vision language models at understanding how the physical world changes over time?
Forthcoming machine learning and AI seminars: October 2026 edition
Lucy Smith
02 Oct 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
Rebuilding the brain with neuromorphic computing: an interview with Oliver Rhodes
Ella Scallan
01 Oct 2026
Neuromorphic computing takes inspiration from biology to build faster, more energy efficient systems.
Neurosymbolic planning using natural language communication for cooperative autonomous vehicles
Read about work that was nominated for the AAMAS 2026 best paper award.
