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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.

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.

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.

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.

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.

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.

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.

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?

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.

#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.

#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

Lucy Smith 02 Sep 2025

Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Forthcoming machine learning and AI seminars: September 2025 edition

Lucy Smith 01 Sep 2025

A list of free-to-attend AI-related seminars that are scheduled to take place between 2 September and 31 October 2025.