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.

AI for the ancient world: how a new machine learning system can help make sense of Latin inscriptions

The Conversation 08 Aug 2025

System retrieves textual and contextual parallels, makes use of visual details, and can generate speculative text to fill gaps in inscriptions.

Smart microscope captures aggregation of misfolded proteins

EPFL 07 Aug 2025

EPFL researchers have developed a microscope that can predict the onset of misfolded protein aggregation.

How AI can help protect bees from dangerous parasites

The Conversation 04 Aug 2025

Tiny but mighty, honeybees play a crucial role in our ecosystems, pollinating various plants and crops.

monthly digest

AIhub monthly digest: July 2025 – RoboCup round-up, ICML in Vancouver, and leveraging feedback in human-robot interactions

Lucy Smith 30 Jul 2025

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Open-source Swiss language model to be released this summer

EPFL 29 Jul 2025

This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure.

Visualising the digital transformation of work

Digit (ESRC Digital Futures at Work Research Centre), Gemma Smith and Jacqueline O’Reilly 23 Jul 2025

Does it matter that the existing images of AI and digital technologies are so unrealistic?

A behaviour monitoring dataset of wild mammals in the Swiss Alps

EPFL 17 Jul 2025

Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps.

Wildlife researchers train AI to better identify animal species in trail camera photos

Oregon State University 09 Jul 2025

Scientists are working on improving AI performance in wildlife monitoring through species and environment-specific training.

monthly digest

What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail

The Conversation 19 Jun 2025

Until recently, most computer code was written, at least originally, by human beings. But with the advent of GenAI, that has begun to change.

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

The Conversation 16 Jun 2025

Last month, Google announced SynthID Detector, a new tool to detect AI-generated content.

Machine learning powers new approach to detecting soil contaminants

Rice University 06 Jun 2025

Method spots pollutants without experimental reference samples.

articles

From the telegraph to AI, our communications systems have always had hidden environmental costs

Generative AI model maps how a new antibiotic targets gut bacteria

Why we should be skeptical of the hasty global push to test 15-year-olds’ AI literacy in 2029

Machine learning for atomic-scale simulations: balancing speed and physical laws

Diffusion beats autoregressive in data-constrained settings

AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces

Botanical time machines: AI is unlocking a treasure trove of data held in herbarium collections

All creatures, great, small, and artificial

Data centers consume massive amounts of water – companies rarely tell the public exactly how much

How AI is opening the playbook on sports analytics

Discrete flow matching framework for graph generation

We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it

Deploying agentic AI: what worked, what broke, and what we learned

Memory traces in reinforcement learning

Advanced AI models are not always better than simple ones

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

How the internet and its bots are sabotaging scientific research

AIhub monthly digest: August 2025 – causality and generative modelling, responsible multimodal AI, and IJCAI in Montréal and Guangzhou

AI helps chemists develop tougher plastics

New research could block AI models learning from your online content

Using AI to speed up landslide detection

AI for the ancient world: how a new machine learning system can help make sense of Latin inscriptions

Smart microscope captures aggregation of misfolded proteins

How AI can help protect bees from dangerous parasites

AIhub monthly digest: July 2025 – RoboCup round-up, ICML in Vancouver, and leveraging feedback in human-robot interactions

Open-source Swiss language model to be released this summer

Visualising the digital transformation of work

A behaviour monitoring dataset of wild mammals in the Swiss Alps

Wildlife researchers train AI to better identify animal species in trail camera photos

AIhub monthly digest: June 2025 – gearing up for RoboCup 2025, privacy-preserving models, and mitigating biases in LLMs

Making optimal decisions without having all the cards in hand

Exploring counterfactuals in continuous-action reinforcement learning

What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

Machine learning powers new approach to detecting soil contaminants

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