A Spline Tour of Deep Learning: The Scattering Way
Explore deep learning's progress, challenges, and theoretical foundations. Gain insights into the geometric interpretation of deep networks and spline approximation, with a focus on Scattering Networks.
AI Design of Molecular Machines - Understanding Proteomics and Protein Structure Prediction
Explore how AI systems like AlphaFold2 revolutionize protein folding prediction and molecular machine design, advancing precision medicine and environmental solutions.
The Continuous Language of Protein Structure
Explore a novel approach to protein structure generation using continuous autoregressive language models. Learn about innovative techniques for in silico protein design and their potential applications.
Deep Learning for Protein Structure Discovery
Explore deep learning techniques for uncovering protein structures, revolutionizing molecular biology and drug discovery.
Learning How to Build Molecules That Fold Like Proteins
Explore protein-like molecule folding with Prof. Michael Shirts, uncovering insights into building and understanding complex molecular structures.
Future of Computer Progress: Trends in Technology and Computing Economics
Explore future computing trends with MIT's Neil Thompson. Gain insights on algorithm progress, specialized hardware, and quantum computing's potential impact on technological advancements.
Hands-on Teaching with Jupyter Notebooks on nanoHUB
Explore hands-on teaching using Jupyter Notebooks on nanoHUB for chemistry courses. Learn to create interactive simulations, visualizations, and programming projects for enhanced student engagement and learning.
Does Life Compute? Understanding Protein Folding and Biomolecular Assembly
Explore the mathematical structures behind protein folding and biomolecular assembly, examining computational approaches and theoretical models that illuminate life's fundamental processes.