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Explores chemical reaction prediction using generative models and molecular transformers, emphasizing the importance of molecular language processing and stereochemistry.
Explores Valérie's path from science to environmental engineering at EPFL, focusing on current environmental challenges and advanced projects in data processing and artificial intelligence.
Explores the significance of innovation in research, innovation, and business, emphasizing the multiplier effect of innovation and the future of disruptive technologies.
Covers the foundational concepts of deep learning and the Transformer architecture, focusing on neural networks, attention mechanisms, and their applications in sequence modeling tasks.
