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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.
The secret to human ‘brilliance’ that AI just can’t match
Stanford Report
13 Jul 2026
New research reveals how people learn social conventions with minimal data – and why that sets us apart from LLMs.
Pre-training isn’t bitter enough
ML@CMU
10 Jul 2026
Given an unlabeled data stream, and a small set of verifiable downstream examples, can we use those examples during continued pre-training?
Adaptive parallel reasoning: the next paradigm in efficient inference scaling
BAIR blog
02 Jul 2026
A detailed analysis of recent progress in the field of parallel reasoning.
Scientists develop new method to generate protein datasets for training AI
Rice University
01 Jul 2026
AI is only as good as the data used to train it, and in some areas of protein engineering, the right data is hard to come by.
AI model used to generate complete models of proteins in motion
EPFL
26 Jun 2026
Researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function.
Three ways to avoid being fooled by AI slop
The Conversation
24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.
Everything, eco-where, AI at once?
Laura Martínez Agudelo and Better Images Of AI
19 Jun 2026
Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.
AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us
The Conversation
17 Jun 2026
What happens to language when a growing amount of text published in the press, online and on social media is written by machines?
monthly digest
AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors
Ella Scallan
16 Jun 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault
Ella Scallan
09 Jun 2026
We learn what implications color metaphors and synaesthesia have for human and AI cognition.
Design tweaks promote responsible AI use for environmental protection, research shows
Oregon State University
03 Jun 2026
Systems that ask users to pause to consider AI’s energy consumption and environmental impacts are likely to reduce unnecessary AI use
An AI solution to an 80‑year‑old problem has shocked mathematicians
The Conversation
02 Jun 2026
An OpenAI model has been used to find a counterexample to a famous conjecture made by legendary Hungarian mathematician Paul Erdős.
monthly digest
AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models
Lucy Smith
28 May 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
You probably wouldn’t notice if an AI chatbot slipped ads into its responses
The Conversation
27 May 2026
Research suggests AI chatbots could easily be used for covert advertising to manipulate their human users.
Why the world’s banks are so worried about Anthropic’s latest AI model
The Conversation
21 May 2026
The finance world’s concern rests on the impressive cyber capabilities of a product called Mythos.
Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle
Ella Scallan
20 May 2026
Jonathan Frankle discusses empiricism, making an impact, and the legacy of his lottery ticket hypothesis.
A faster way to estimate AI power consumption
MIT News
19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
Introducing ARFBench: A time series question-answering benchmark based on real incidents
ML@CMU
18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.
Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?
The Conversation
15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.
Reflections from #AIES2025
Ella Scallan and Lucy Smith
14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.
