Explores fundamental principles in scientific research, the impact of computers, numerical algorithms, and deep learning in solving high-dimensional problems.
Explores the retirement of a physics professor at EPFL and his significant contributions to the field, emphasizing creativity, humility in science, and the transformative power of research.
Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.