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will be a validated open-source framework capable of adapting a single general-purpose LLM into a multi-agent system able to solve diverse and complex networking problems through collaboration. This work
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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. The ML will use 500,000 fundus images from open-source and customised retinopathy datasets. We will compare retinopathy grading accuracy by NHS clinician vs ML algorithm. This will build on Exeter’s
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to search optimised model structures, complementing RL’s incremental updates. Consideration of robustness to various sources would be an objective too. Expected Contributions A novel framework combining
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Methods Mountain rivers are an essential source of water, nutrients and hydropower, yet these resources are threatened by increasing quantities of sediment and pollution along water courses, partly linked
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this knowledge gap using a scale-spanning strategy, investigating viral and archaeal counter-adaptations in environmentally sourced cultures. Embedded in an interdisciplinary supervisory structure; Daum (archaeal
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to search optimised model structures, complementing RL’s incremental updates. Consideration of robustness to various sources would be an objective too. Expected Contributions A novel framework combining
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sources, and environmental concentrations have been shown to increase resistance. However, ‘safe’ release limits for antibiotics based on AMR endpoints are not mandated, partly due to lack of consensus