ΑΙhub.org
Live Coverage of #NeurIPS2019
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: 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
AIhub is supported by:
Related posts :
Interview with Eden Hartman: Investigating social choice problems
Lucy Smith
24 Apr 2025
Find out more about research presented at AAAI 2025.
The Machine Ethics podcast: Co-design with Pinar Guvenc
The Machine Ethics Podcast
23 Apr 2025
This episode, Ben chats to Pinar Guvenc about co-design, whether AI ready for society and society is ready for AI, what design is, co-creation with AI as a stakeholder, bias in design, small language models, and more.
Why AI can’t take over creative writing
The Conversation
22 Apr 2025
A large language model tries to generate what a random person who had produced the previous text would produce.
Interview with Amina Mević: Machine learning applied to semiconductor manufacturing
Lucy Smith
17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.
Images of AI – between fiction and function
Dominik Vrabič Dežman and Better Images Of AI
16 Apr 2025
“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”
Grace Wahba awarded the 2025 International Prize in Statistics
AIhub
16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.
Provably safe certification for machine learning models under adversarial attacks: Interview with Chen Feng
Lucy Smith
15 Apr 2025
Find out more about work presented at AAAI 2025.
Repurposing protein folding models for generation with latent diffusion
BAIR blog
14 Apr 2025
The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding?