You are here

NVIDIA webinars delve into AI applications in quantum chemistry, earth & space science, and biomed

Nvidia has announced three webinars during September and early October that will showcase and discuss applications of Artificial Intelligence (AI) in range of research fields. The webinars are free but registration is required. Click on the links below for more information and to register online.

Details:

Accelerating Quantum Chemistry Simulations with AI
Tuesday, September 17, 2019
11:00 AM PDT

Click here to register

By attending this webinar, you’ll learn:

  • How graph convolution deep learning models work
  • How deep learning and machine learning are being used in density functional and wave-function-based electronic structure calculations
  • How deep learning models can be used to approximate potential energy surfaces to speed up molecular dynamics simulations
  • How to get started on your own with NGC

Accelerating Research in the Earth and Space Sciences with AI
Tuesday, September 24, 2019
11:00 AM PDT

Click here to register

By attending this webinar, you’ll learn:

  • What deep learning is and how it works
  • How deep learning can be applied to tasks in the earth and space sciences, including weather prediction, climate modeling, satellite observation, and space exploration
  • How to apply deep learning to identify tropical storms and solar storms observed by NASA Solar Dynamics Observatory
  • How to implement GPU accelerated deep learning in Keras and Pytorch, leveraging NGC containers 

Accelerating Biomedical Chip Design with AI
Tuesday, October 01, 2019
11:00 AM PDT

Click here to register

By attending this webinar, you’ll learn:

  • An overview of how new lab chips are combining acoustics and biological cells to unlock the key to growing organs in the lab
  • A new methodology for designing these lab chips that combines numerical simulation and deep learning
  • How to create a complete workflow within the MATLAB framework to create the model, simulate and generate the data, build and train a deep neural network, and use this network for designing custom features
  • An understanding of how MATLAB, AI, and NVIDIA can be combined to create a new stack of HPC and AI workflows