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› Charlotte Bunne on developing AI-based diagnostic tools
› A deep learning pipeline for controlling protein interactions
› An open-source training framework to advance multimodal AI
› Modeling the minutia of motor manipulation with AI
› Explainable AI for detecting and monitoring infrastructure defects
› Using deep learning to help distinguish dark matter from cosmic noise
› Geometric deep learning for protein sequence design
› Machine learning enhances chemical analysis at the nanoscale
› Navigating the labyrinth: How generative models tackle complex data sampling
› Machine learning accelerates discovery of solar-cell perovskites
› Trotting robots offer insights into animal gait transitions
› Machine learning viability modelling of vertical-axis wind turbines
› Deep learning-powered system maps corals in 3D
› Machine learning helps improve quality assurance for wind turbines
› Chameleon AI program classifies objects in satellite images faster
› Deep learning model to help detect plastic in oceans
› Enhancing AI robustness for more secure and reliable systems
› PeSTo: an AI tool for predicting protein interactions
› Engineering molecular interactions with machine learning
› Improving the understanding of metal-organic frameworks
› UrbanTwin: seeing double for sustainability
› Using machine learning to forecast amine emissions
› Machine learning predicts heat capacities of metal-organic frameworks
› Better understanding of cellular metabolism with the help of AI
› Deep learning: a framework for image analysis in life sciences
› Artificial intelligence and big data to help preserve wildlife
› Artificial intelligence helps speed up ecological surveys
› Artificial intelligence speeds land-use classification
› Helping drone swarms avoid obstacles without hitting each other
› FLeet: putting machine learning in your pocket
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