ΑΙhub.org
What’s on the programme at #AIES2025?
Lucy Smith
17 Oct 2025
The conference on AI, ethics, and society will take place in Madrid from 20-22 October.
Applying machine learning to chip design and manufacturing: interview with Lorenzo Servadei
AIhub
14 Oct 2025
Find out how Lorenzo and his team are using ML and Electronic Design Automation.
Machine learning for atomic-scale simulations: balancing speed and physical laws
How much underlying physics can we safely “shortcut” without breaking a simulation?
Policy design for two-sided platforms with participation dynamics: interview with Haruka Kiyohara
Lucy Smith
09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.
Interview with Janice Anta Zebaze: using AI to address energy supply challenges
Lucy Smith
07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.
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.
What’s coming up at #IROS2025?
Lucy Smith
15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.
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?
The Machine Ethics podcast: What excites you about AI? Vol.2
The Machine Ethics Podcast
08 Oct 2025
This is a bonus episode looking back over answers to our question: What excites you about AI?
How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard
The Conversation
06 Oct 2025
Early research is only beginning to scratch the surface of how AI technology will truly affect learning and cognition in the long run.
Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
Lucy Smith
03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.
Diffusion beats autoregressive in data-constrained settings
ML@CMU
03 Oct 2025
How can we trade off more compute for less data?
Forthcoming machine learning and AI seminars: October 2025 edition
Lucy Smith
02 Oct 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 October and 30 November 2025.
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.
RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura
Lucy Smith
25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.
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?
Interview with Luc De Raedt: talking probabilistic logic, neurosymbolic AI, and explainability
Liliane-Caroline Demers
23 Sep 2025
AIhub ambassador Liliane-Caroline Demers caught up with Luc de Raedt at IJCAI 2025 to find out more about his research.
Call for AAAI educational AI videos
AIhub
22 Sep 2025
Submit your contributions by 30 November 2025.
Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award
Lucy Smith
19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.
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.
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.
