ΑΙhub.org
Call for AI-themed holiday videos, art and more
That’s right! You better not run, you better not hide, you better watch out for brand new AI-themed holiday material on AIhub!
Drop your videos, AI generated art, pictures, poems, algorithms, datasets, or anything else you can think of, down our chimney at sabine.hauert@robohub.org and share the spirit of the season. We’ll be posting the best content through December and January.
Some inspiration below from University of Toronto.
AIhub
is dedicated to free high-quality information about AI.
AIhub
is dedicated to free high-quality information about AI.
AIhub is supported by:
Related posts :
Memory traces in reinforcement learning
Onno Eberhard
12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.
Apertus: a fully open, transparent, multilingual language model
EPFL
11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.
Interview with Yezi Liu: Trustworthy and efficient machine learning
Lucy Smith
10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Advanced AI models are not always better than simple ones
EPFL
09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda
The Machine Ethics Podcast
08 Sep 2025
This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
MIT News
05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour
Agata Ciabattoni and Emery Neufeld
04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.
How the internet and its bots are sabotaging scientific research
The Conversation
03 Sep 2025
What most people have failed to fully realise is that internet research has brought along risks of data corruption or impersonation.