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Water flow in prairie watersheds is increasingly unpredictable — but AI could help

In a landscape that can flip quickly from soaking up water to sending it downstream, small differences in how wet the wetlands are can be the difference between a manageable spring and a damaging flood. USFWS Mountain-Prairie, CC BY 4.0. By Ali Ameli, University of British Columbia In recent years, the Prairies have seen bigger […]

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Identifying interactions at scale for LLMs

By Landon Butler, Justin Singh Kang, Yigit Efe Erginbas, Abhineet Agarwal, Bin Yu, Kannan Ramchandran Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward

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#AAAI2026 invited talk: machine learning for particle physics

Simulated Large Hadron Collider CMS particle detector data depicting a Higgs boson produced by colliding protons decaying into hadron jets and electrons. Reproduced under a CC BY-SA 3.0 licence. Daniel Whiteson is a particle physicist, who uses machine learning and statistical tools to analyze high-energy particle collisions. He is also a dedicated science communicator, having

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AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

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 delved into the history of RoboCup, learned about time series, studied multiplicity, and found out more about Theory of Mind. Manuela Veloso on the history

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What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

We’re excited to launch our new series, where we’ll be speaking with leading researchers to explore the breakthroughs driving AI and the reality of the future promises – to give you an inside perspective on the headlines. Our first interviewee is Ross King, who created the first robot scientist back in 2009. He spoke to

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Information-driven design of imaging systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. By Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller Many imaging systems produce measurements that humans never see

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Information-driven design of imaging systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. By Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller Many imaging systems produce measurements that humans never see

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Machine learning framework to predict global imperilment status of freshwater fish

By Sean Nealon Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction, with a particular focus on identifying threats to fish before they become endangered. “People sometimes go in to protect species when it’s already too late,” said Ivan Arismendi, an associate professor in Oregon State University’s Department of

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A principled approach for data bias mitigation

Scale and Charts Emojis by OpenMoji (CC BY-SA 4.0) via Streamline. How do you know if your data is fair? And if it isn’t, what can you do about it? Machine learning models are increasingly used to make high-stakes decisions, from predicting who gets a loan to estimating the likelihood that someone will reoffend. But

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An AI image generator for non-English speakers

Although text-to-image generation is rapidly advancing, these AI models are mostly English-centric. This increases digital inequality for non-English speakers. Researchers at the University of Amsterdam Faculty of Science have created NeoBabel, an AI image generator that can work in six different languages. By making all elements of their research open source, anyone can build on

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