ABOUT THIS FEED
AI Hub (aihub.org) is a nonprofit initiative designed to connect the AI research community and make cutting-edge knowledge accessible to wider audiences. Its RSS feed aggregates curated articles, interviews, event summaries, and research updates from across the AI ecosystem. The focus is on community engagement: highlighting work from researchers, promoting open collaboration, and sharing insights into AI’s role in academia, policy, and society. Unlike fast-paced news feeds, AI Hub emphasizes depth, context, and inclusivity, featuring content from global contributors. With several posts each day, it ensures that readers are exposed to diverse voices and emerging trends. This feed is particularly valuable for academics, policymakers, and AI enthusiasts who want a comprehensive, community-driven perspective on artificial intelligence beyond just commercial applications.
- AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we chat to AI pioneer, Michael Littman, learn about time-series forecasting for clinical data, investigate evolutionary game theory for cybersecurity, and get the scoop on neuromorphic
- From teaching machines to teaching people: an interview with Michael Littman
Welcome back to AI Pioneers, our series of in-depth conversations with leading figures in artificial intelligence. In this interview, we speak with Michael Littman about the evolution of reinforcement learning, the role of creativity and culture in how humans and machines learn, and the challenges generative AI poses for education. We also explore his approach
- From lab to life: Why translating AI advances to the real world is a major challenge
By Bo Wang, University of Mississippi Turning artificial intelligence research into real-world tools isn’t always straightforward, despite the remarkable progress in recent years ranging from self-driving cars to large language models. Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets. Vision-based systems, for
- Researchers get AI ‘drunk’ to expose new cyber security risks in chatbots
By Kyle Mackey-Laws Fine-tuning large language models using drunken text makes them more likely to leak secrets and answer harmful questions, new UNSW-led research shows. UNSW researchers have shown that large language models (LLMs) can be pushed to imitate drunken behaviour – and that once they do, they are significantly more likely to leak confidential
- AI is creating jobs as well as erasing them – but how rewarding are they?
Kathryn Conrad & Digit / Isolation / Licenced by CC-BY 4.0 By Akhil Bhardwaj, University of Bath Don’t believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised. One area of increased
- How AI changes human decision-making
Bijona Troqe holds a PhD in Industrial Engineering and Management from Linköping University. Photo credit: Teiksma Buseva. By Teiksma Buseva AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions. In her doctoral thesis, Bijona Troqe at Linköping University investigated what happens when
- Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer
Team NimbRo’s robot in action during the RoboCup@Home competition at RoboCup 2026. Raphael leads the team. 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
- AI is distorting archaeology and flattening Indigenous Knowledge
AI can popularise false histories and strip Indigenous Knowledge of its context. Picture: Supplied by authors. By Michelle Richards, Michael-Shawn Fletcher and Anthony Romano 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
- ACM SIGAI Autonomous Agents Award 2027 open for nominations
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
- AI is helping ease competition for scarce space on the airwaves
By Aylin Yener, The Ohio State University 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