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Learning robust controllers that work across many partially observable environments

In intelligent systems, applications range from autonomous robotics to predictive maintenance problems. To control these systems, the essential aspects are captured with a model. When we design controllers for these models, we almost always face the same challenge: uncertainty. We’re rarely able to see the whole picture. Sensors are noisy, models of the system are […]

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I’ve never coded before but tried Gemini 3’s vibe-coding tools — and it made my dream apps – MakeUseOf

I’ve never coded before but tried Gemini 3’s vibe-coding tools — and it made my dream apps  MakeUseOfSalesforce CEO Mark Benioff says he’s never going to use ChatGPT again: It feels like …  Times of IndiaSundar Pichai says Google teams need sleep after Gemini 3 launch sends company soaring  India TodayGemini 3 is doing such a good job

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ACM SIGAI Autonomous Agents Award 2026 open for nominations

Nominations are solicited for the 2026 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

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Interview with Mario Mirabile: trust in multi-agent systems

In a new series of interviews, we’re meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the European Conference on Artificial Intelligence (ECAI 2025). During the conference in Bologna, we caught up with Mario Mirabile who is studying for his PhD in trustworthy AI and multi-agent systems

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Review of “Exploring metaphors of AI: visualisations, narratives and perception”

IceMing & Digit / Stochastic Parrots at Work / Licenced by CC-BY 4.0 Better Images of AI and We and AI have been exploring the role of visual and narrative metaphors in shaping our understanding of AI. As part of this we invited some researchers who have been conducting different types of research into the

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Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values. We present the concept of Value-Aligned Operational Design Domains (VODDs) – a framework that embeds stakeholder value hierarchies and contextual handover rules

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Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu

Generations in Dialogue: Bridging Perspectives in AI is a podcast from AAAI featuring thought-provoking discussions between AI experts, practitioners, and enthusiasts from different age groups and backgrounds. Each episode delves into how generational experiences shape views on AI, exploring the challenges, opportunities, and ethical considerations that come with the advancement of this transformative technology. Human-centric

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Learning from failure to tackle extremely hard problems

By Sangyun Lee and Giulia Fanti This blog post is based on the work BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards. Tackling very hard problems The ultimate aim of machine learning research is to push machines beyond human limits in critical applications, including the next generation of theorem proving, algorithmic problem solving,

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How AI can improve storm surge forecasts to help save lives

By Navid Tahvildari, Florida International University Hurricanes are America’s most destructive natural hazards, causing more deaths and property damage than any other type of disaster. Since 1980, these powerful tropical storms have done more than US$1.5 trillion in damage and killed more than 7,000 people. The No. 1 cause of the damages and deaths from

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