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From lab to life: Why translating AI advances to the real world is a major challenge
The Conversation
28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.
Researchers get AI ‘drunk’ to expose new cyber security risks in chatbots
University of New South Wales
27 Oct 2026
Fine-tuning large language models using drunken text makes them more likely to leak secrets and answer harmful questions.
AI is creating jobs as well as erasing them – but how rewarding are they?
The Conversation
26 Oct 2026
One area of increased employment is in people “cleaning up” after LLMs, or quality controlling them.
How AI changes human decision-making
Linköping University
23 Oct 2026
AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions.
AI is distorting archaeology and flattening Indigenous Knowledge
Pursuit, University of Melbourne
21 Oct 2026
While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.
AI is helping ease competition for scarce space on the airwaves
The Conversation
19 Oct 2026
Every time you make a phone call, stream a video or connect to Wi-Fi, your device is sending and receiving invisible signals through the air.
How AI is helping cities tackle invisible pollution
Horizon
16 Oct 2026
Researchers are designing AI-powered virtual cities to help authorities predict street-level pollution and act where it is needed most.
Credit fairness: lending resources without losing out
Seyed Majid Zahedi and Rupert Freeman
14 Oct 2026
Studying the allocation of shared resources among agents with time-varying demands.
Generative AI has changed mathematics forever. Where to from here?
The Conversation
12 Oct 2026
Large language models such as ChatGPT and Claude are creating disruptions in all parts of the mathematical community.
Can you teach yourself to detect AI writing? Maybe
The Conversation
06 Oct 2026
Before generative AI, we could generally assume that written text had been composed by a human. This is no longer the case. So how can we spot AI-written text?
Neurosymbolic planning using natural language communication for cooperative autonomous vehicles
Read about work that was nominated for the AAMAS 2026 best paper award.
monthly digest
AIhub monthly digest: September 2026 – tracking animal populations, recommender systems, and an interview with Ken Goldberg
Lucy Smith
29 Sep 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI-powered platforms uncover proteins that organise cellular compartments
Nanyang Technological University, Singapore
28 Sep 2026
Two platforms could enable researchers to more accurately predict proteins that undergo phase separation.
When compression techniques don’t just add up: Interaction effects in hybrid LLM compression
Iheb Bouriel
25 Sep 2026
New research finds that combining common LLM compression techniques doesn't just add up — sometimes it backfires, sometimes it surprises.
Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time
The Conversation
18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.
How much can fair budget-division rules resist manipulation?
The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".
AI dives into a sea of data, from plankton to pollution
Horizon
16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."
When AI art has no author: Study finds generated images often can’t be traced to training data
MIT News
14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
AI in nature conservation: powerful tool or dangerous shortcut?
The Conversation
11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .
Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara
Lucy Smith
10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.
AI-powered camera system offers low-cost way to monitor bumblebees
Oregon State University
04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.
What happens when AI runs out of pictures?
Pursuit, University of Melbourne
31 Aug 2026
AI is data-hungry and needs thousands of images to learn how to detect tumours or product defects, but often very few are available. A new method aims to change that.
monthly digest
AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?
Lucy Smith
28 Aug 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI agents create virtual playgrounds to help robots get crucial training data
MIT News
27 Aug 2026
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.
The accountability vacuum: Agentic AI in high-stakes domains
In the latest issue of AI Matters, Larry Medsker and Sumit Virmani define the accountability vacuum faced by the deployment of agentic AI systems into an unprepared world.
How generative AI and physics can help design new antibiotics
The Conversation
10 Aug 2026
We need new antibiotics and designing them is difficult. A potential solution is to use generative AI models, guided by trained scientists.
CogTwin: A framework for adaptable digital twins
Sukanya Mandal
05 Aug 2026
Find out more about work presented at IJCAI 2025 on Cognitive Digital Twins.
Healthcare benchmarks are only as good as their assumptions
ML@CMU
03 Aug 2026
In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment.
Humans trained to spot AI faces in the battle against deepfake fraud
Australian National University (ANU)
30 Jul 2026
Researchers trained people to spot AI-generated faces by drawing their attention to six perceptual qualities.
monthly digest
AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action
Lucy Smith
29 Jul 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity
The Conversation
28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.
Towards experiment-guided AlphaFold
Institute of Science and Technology Austria
27 Jul 2026
Researchers enhance Nobel Prize-winning structural prediction model.
AI listens in to help protect wildlife
Horizon
24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.
How can we characterize consensus in a network of agents?
Nicolas Schwind
23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.
Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science
The Conversation
22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.
Interactive world simulator for robot policy training and evaluation
Yixuan Wang
17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.
