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Relational neurosymbolic Markov models

Telling agents what to do Our most powerful artificial agents cannot be told exactly what to do, especially in complex planning environments. They almost exclusively rely on neural networks to perform their tasks, but neural networks cannot easily be told to obey certain rules or adhere to existing background knowledge. While such uncontrolled behaviour might […]

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AI enables a Who’s Who of brown bears in Alaska

PoseSwin is an AI capable of identifying wild bears one by one despite significant physical transformation. © 2026 EPFL/B.Rosenberg CC-BY-SA 4.0. By Cécilia Carron Being able to distinguish individual animals – including their unique history, movement patterns and habits – can help scientists better understand how their species function, and therefore better manage habitats and

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3 Questions: Using AI to help Olympic skaters land a quint

MIT Sports Lab researchers, Jerry Lu and Anette (Peko) Hosoi, are applying AI technologies to help figure skaters improve. Credit: Bryce Vickmark, edited by MIT News; MIT Mechanical Engineering. By Abby Abazorius Olympic figure skating looks effortless. Athletes sail across the ice, then soar into the air, spinning like a top, before landing on a

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Governing the rise of interactive AI will require behavioral insights

Clarote & AI4Media / AI Mural / Licenced by CC-BY 4.0 Interactive AI: From tool to companion AI is no longer just a translator or image recognizer. Today, we engage with systems that remember our preferences, proactively manage our calendars, and even provide emotional support. This is interactive AI. Unlike traditional software, these systems are:

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AI is coming to Olympic judging: what makes it a game changer?

By Willem Standaert, Université de Liège As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy. The Olympic AI agenda In 2024, the IOC unveiled its Olympic AI Agenda, positioning artificial

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AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI

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 find out about a robot to navigate hiking trails, learn from logical constraints, analyse the effectiveness of moderation guardrails, and travel to Singapore to attend

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Guarding Europe’s hidden lifelines: how AI could protect subsea infrastructure

By Michael Allen Thousands of kilometres of cables and pipelines criss-cross Europe’s sea floors, carrying the gas, electricity and data that keep modern life running. Yet these critical links lie mostly unprotected. A series of recent incidents, such as the Nord Stream gas pipeline explosions, has raised fears that Europe’s underwater infrastructure is becoming a

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Robots to navigate hiking trails

If you’ve ever gone hiking, you know trails can be challenging and unpredictable. A path that was clear last week might be blocked today by a fallen tree. Poor maintenance, exposed roots, loose rocks, and uneven ground further complicate the terrain, making trails difficult for a robot to navigate autonomously. After a storm, puddles can

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Learning from logical constraints with lower- and upper-bound arithmetic circuits

How can we train neural networks efficiently to be more consistent with background knowledge? Neural networks are remarkably good at recognising patterns in data, from images to language, but they often fail to respect rules and relationships that are obvious to humans. For instance, a neural network may learn to recognise road agents, their action,

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A black keyboard at the bottom of the picture has an open book on it, with red words in labels floating on top, with a letter A balanced on top of them. The perspective makes the composition form a kind of triangle from the keyboard to the capital A. The AI filter makes it look like a messy, with a kind of cartoon style.

What are small language models and how do they differ from large ones?

Teresa Berndtsson / Letter Word Text Taxonomy / Licenced by CC-BY 4.0 By Lin Tian, University of Technology Sydney and Marian-Andrei Rizoiu, University of Technology Sydney Microsoft recently released its latest small language model that can operate directly on the user’s computer. If you haven’t followed the AI industry closely, you might be asking: what

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