Explores the IPAT formula, analyzing environmental impact factors like population, affluence, and technology, and discusses strategies for meeting CO₂ emissions targets.
Addresses the need for significant CO2 intensity reduction to achieve climate targets while examining the interplay between economic growth and carbon emissions.
Covers the foundational concepts of deep learning and the Transformer architecture, focusing on neural networks, attention mechanisms, and their applications in sequence modeling tasks.
