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AI model used to generate complete models of proteins in motion

A simulated protein backbone (yellow) augmented with AI-generated snapshots. Image credit: LPCS LTS2 EPFL CC BY SA. By Celia Luterbacher Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that […]

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Three ways to avoid being fooled by AI slop

Marten Newhall/Unsplash By Silvia Montaña-Niño, The University of Melbourne and T.J. Thomson, RMIT University Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong. And when it’s in visual form, it can be

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A group of five cloud shapes float across a blue background. The clouds are collages made out of close up photographs of shiny silver silicon surfaces.

Everything, eco-where, AI at once?

Tania Duarte and Catherine Breslin / Better Images of AI / CC BY 4.0 In this blog post, Laura Martinez Agudelo builds upon her research of visual representations of ecology and digitalisation to explore how “AI eco-imagery” is portrayed. Martinez Agudelo introduces five “eco-digital” visual narratives from her recent paper – including the Earth as

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AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us

Markus Winkler / Unsplash., CC BY 4.0 By Xosé López-García, Universidade de Santiago de Compostela and Cristian Augusto Gonzalez Arias, Pontificia Universidad Catolica de Valparaiso; Universidade de Santiago de Compostela What happens to language when a growing amount of text published in the press, online and on social media is written by machines? This question

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Panda and tiger reading

AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors

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 found out how foundation models are being used for conservation efforts, how AI can help with scarce resource allocation, and how color metaphors and LLMs

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Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault

We sat down with Douglas Guillbault to discuss his paper, “Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors”. The results have interesting implications for how we model human cognition, and in turn, how the concept of synaesthesia could be integrated to develop more intelligent AI models. What are color

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This image is a collage with a colourful Japanese vintage landscape showing a mountain, hills, flowers and other plants and a small stream. There are 3 large black data servers placed in the bottom half of the image, with a cloud of black smoke emitting from them, partly obscuring the scenery.

Design tweaks promote responsible AI use for environmental protection, research shows

Deborah Lupton / Servers in a Landscape / Licenced by CC-BY 4.0 Artificial intelligence systems that ask users to pause to consider AI’s energy consumption and environmental impacts are likely to reduce unnecessary AI use, new research by Oregon State University suggests. The findings, published in Science Communication, are important as AI is already using

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An AI solution to an 80‑year‑old problem has shocked mathematicians

A representation of one version of the new best arrangement of points on a plane with pairs separated by a unit distance. Credit: Álvaro Lozano-Robledo. By Melissa Lee, Monash University Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous

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Panda and tiger reading

AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models

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 learn about AI for science, delve into world models, research transparent and trustworthy AI, and hear about the lottery ticket hypothesis. Making AI systems more

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Speech bubble | NLP

You probably wouldn’t notice if an AI chatbot slipped ads into its responses

By Brian Jay Tang, University of Michigan and Kang G. Shin, University of Michigan Hundreds of millions of people consult artificial intelligence chatbots on a daily basis for everything from product recommendations to romance, making them a tempting audience to target with potentially below-the-radar advertising. Indeed, our research suggests AI chatbots could easily be used

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