AI is becoming part of everyday decision-making in many organisations. In healthcare, it can help professionals analyse large amounts of information, identify patterns and assess complex cases. But introducing AI does more than add a new tool. It can also change what people pay attention to, how they understand a problem and how a decision is reached. This is what Bijona wanted to understand in her doctoral research.

Raphael Memmesheimer has been successfully competing in the RoboCup@Home league winning the RoboCup@Home competition five times. He and his colleagues won the best paper award at RoboCup 2026 for their work "Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation" . We caught up with Raphael to find out more about this research, his history with RoboCup, and the challenges of the @Home competition. Could you start by telling us how you got involved with RoboCup@Home? I've actually been involved in the @Home league since I was a student, and my first time going to a World Cup for @Home was in 2013.

If you image search on Google for'cultural heritage Australia', near the top of the results is a photograph of giant carved stone heads rising from a red desert. They look ancient and real. But the image is a generative artificial intelligence (GenAI) fabrication that never existed, and it is circulating the internet as though it is a real record of Australia's history. While GenAI, the technology behind chatbots and image generators, has the potential to broaden access to knowledge, it can also popularise false histories and strip Indigenous Knowledge of its context. It's something that can undermine both scientific expertise and Indigenous authority.

Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2027 conference.

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. So are your baby monitor, garage door opener, your GPS, the weather-monitoring satellites and the radars keeping planes safely apart. All of these rely on the same invisible resource: the radio spectrum. The demand for wireless data - driven by smartphones, video streaming and billions of connected devices - keeps growing, making available spectrum scarce. But it doesn't have to remain that way.

In cities, air pollution can vary sharply from one street to the next. Fumes may linger between tall buildings, collect at busy junctions or drift towards a school gate. However, cities often lack the detailed forecasts needed to act before levels become dangerous. For Professor Soledad Le Clainche, an applied mathematician at the Technical University of Madrid and leader of the ModelFLOWs research group, better understanding how air moves through cities could help tackle one of Europe's biggest environmental health challenges. As part of an EU-funded research project called MODELAIR, Le Clainche is working with researchers in Belgium, the Netherlands, Sweden and the UK to make the invisible, highly local patterns of urban pollution easier for cities to understand.

This week saw researchers gather in Malmö at the ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) . We cast an eye over social media platforms to find out what participants got up to at the event. The 9th annual AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-26) is underway in Malmö. We are looking forward to a robust program full of educational and networking opportunities. Today at #AIES2026 in Malmö I joined the panel on Participation, Sovereignty, and Power in AI Governance with The Mitigation Paradox, joint work with Mina Schütz, Martin Kappes and Marc-Oliver Pahl. 3 takeaways: https://doi.org/10.5281/zenodo.23302284

The ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is taking place in Malmö, Sweden from 12-14 October 2026. The panel discussion will take place on Tuesday 13 October. Find out more at the conference webpage . Lucy Smith is Senior Managing Editor for AIhub. Lucy Smith is Senior Managing Editor for AIhub.

Generative AI has changed mathematics forever. In August, artificial intelligence company OpenAI announced ten advances in mathematics and computer science made with their as-yet unreleased model Astra. The discoveries cover a wide range of mathematical fields, including geometry, cryptography and coding theory. These ten are just the latest in a rapidly growing list of mathematical breakthroughs made by generative artificial intelligence (AI) systems. OpenAI accompanied the announcement with a statement on "responsibility to the mathematical community".

Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium . This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. During 2026, we met with some of the students to find out more about their research and the doctoral consortium experience. Xiang Fang has been conducting his PhD research at Nanyang Technological University (NTU) in Singapore. Broadly speaking, his work focuses on multi-modal learning and embodied intelligence.