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.
Read the article
• 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
Read the article
Artificial intelligence: how psychology can contribute to AGI
Read the article
Explainability of artificial intelligence systems: what are the requirements and limits?
Read the article
AI: “the divide between freelance and in-house developers can be damaging”
Read the article
BrainBox AI to cut commercial real estate emissions by up to 40%
Read the article