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monthly digest
AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset
Lucy Smith
28 Nov 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness
The Conversation
27 Nov 2025
The EC has proposed delaying parts of the act until 2027 following intense pressure from tech companies and the Trump administration.
Better images of AI on book covers
Better Images Of AI
25 Nov 2025
We share insights from Chrissi Nerantzi on the decisions behind the cover of the open-sourced book ‘Learning with AI’, and reflect on the significance of book covers.
What is AI poisoning? A computer scientist explains
The Conversation
24 Nov 2025
Poisoning is a growing problem in the world of AI – in particular, for large language models.
New AI technique sounding out audio deepfakes
CSIRO
21 Nov 2025
Researchers discover a smarter way to detect audio deepfakes that is more accurate and adaptable to keep pace with evolving threats.
Learning robust controllers that work across many partially observable environments
Maris Galesloot
20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.
Review of “Exploring metaphors of AI: visualisations, narratives and perception”
Cinzia Pusceddu and We and AI
17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.
Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design
Astrid Rakow
13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.
Learning from failure to tackle extremely hard problems
ML@CMU
12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".
How AI can improve storm surge forecasts to help save lives
The Conversation
10 Nov 2025
Looking at how AI models can help provide more detailed forecasts more quickly.
Rewarding explainability in drug repurposing with knowledge graphs
Susana Nunes and Catia Pesquita
07 Nov 2025
A RL approach that not only predicts which drug-disease pairs might hold promise but also explains why.
monthly digest
AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations
Lucy Smith
29 Oct 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
The great wildebeest migration, seen from space: satellites and AI are helping count Africa’s wildlife
The Conversation
27 Oct 2025
Researchers analysed satellite imagery of the Serengeti-Mara ecosystem from 2022 and 2023.
New AI tool helps match enzymes to substrates
University of Illinois
24 Oct 2025
A new machine learning-powered tool can help researchers determine how well an enzyme fits with a desired target.
From the telegraph to AI, our communications systems have always had hidden environmental costs
The Conversation
20 Oct 2025
Drawing parallels between new technologies of the past and today.
Generative AI model maps how a new antibiotic targets gut bacteria
MIT News
16 Oct 2025
Researchers used a GenAI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria.
Why we should be skeptical of the hasty global push to test 15-year-olds’ AI literacy in 2029
The Conversation
13 Oct 2025
Are schools set to become testing grounds for AI developments?
Machine learning for atomic-scale simulations: balancing speed and physical laws
How much underlying physics can we safely “shortcut” without breaking a simulation?
Diffusion beats autoregressive in data-constrained settings
ML@CMU
03 Oct 2025
How can we trade off more compute for less data?
monthly digest
AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces
Lucy Smith
30 Sep 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Botanical time machines: AI is unlocking a treasure trove of data held in herbarium collections
The Conversation
29 Sep 2025
New research describes the development and testing of a new AI-driven tool.
All creatures, great, small, and artificial
Real World Data Science
26 Sep 2025
AI in Veterinary Medicine and what it can teach us about the data revolution.
Data centers consume massive amounts of water – companies rarely tell the public exactly how much
The Conversation
24 Sep 2025
Why do data centres need so much water, and how much do they use?
How AI is opening the playbook on sports analytics
University of Waterloo
18 Sep 2025
Waterloo researchers create simulated soccer datasets to unlock insights once reserved for pro teams.
Discrete flow matching framework for graph generation
Manuel Madeira and Yiming Qin
17 Sep 2025
Read about work presented at ICML 2025 that disentangles sampling from training.
We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it
The Conversation
16 Sep 2025
A single individual using AI can produce multiple papers that appear valid in a matter of hours.
Deploying agentic AI: what worked, what broke, and what we learned
Real World Data Science
15 Sep 2025
AI scientist and researcher Francis Osei investigates what happens when Agentic AI systems are used in real projects, where trust and reproducibility are not optional.
Memory traces in reinforcement learning
Onno Eberhard
12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.
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.
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.
monthly digest
AIhub monthly digest: August 2025 – causality and generative modelling, responsible multimodal AI, and IJCAI in Montréal and Guangzhou
Lucy Smith
29 Aug 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI helps chemists develop tougher plastics
MIT News
25 Aug 2025
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine learning model.
New research could block AI models learning from your online content
CSIRO
14 Aug 2025
The method protects images from being used to train AI or create deepfakes by adding invisible changes that confuse the technology.
Using AI to speed up landslide detection
University of Cambridge
11 Aug 2025
Researchers are using AI to speed up landslide detection following major earthquakes and extreme rainfall events.
