Addresses the urgent relationship between biodiversity loss and climate change, emphasizing the need for systemic transformation to protect ecosystems.
Explores generalization in machine learning, focusing on underfitting and overfitting trade-offs, teacher-student frameworks, and the impact of random features on model performance.