Biodiversity in lakes: multimodal AI crunches eADN data to monitor pollution
• Pollution and land-use change pose a major threat to biodiversity in lakes and other natural ecosystems.
• A team of scientists from the University of Birmingham is pioneering an innovative approach involving explainable machine learning to study these complex dynamics.
• Their research, which highlights hitherto unforeseen environmental impacts, will pave the way for better management of complex ecosystems.
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• A team of scientists from the University of Birmingham is pioneering an innovative approach involving explainable machine learning to study these complex dynamics.
• Their research, which highlights hitherto unforeseen environmental impacts, will pave the way for better management of complex ecosystems.
Contraband: AI efficiently detects anomalies in shipping containers
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“I lost track of time”: how we get caught up in digital applications?
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Explainability of artificial intelligence systems: what are the requirements and limits?
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