In this demo-heavy talk, we'll explore a powerful suite of tools developed and used by Google Research and Google DeepMind for accelerating scientific discovery. We'll examine how researchers can leverage JAX, a high-performance numerical computation library, for efficient model development and experimentation. We'll cover practical applications of these technologies within the readily accessible Google Colab Python environment. We'll also demo how the Gemini APIs and Google AI Studio can be used to enhance scientific research workflows, especially for data analysis and visualization.

About the speaker :

Paige Bailey is the Developer Relations engineering lead at Google DeepMind. Prior to returning to Google DeepMind, Paige worked on projects like Codespaces, VS Code, and Copilot at GitHub. As a former applied machine learning engineer (in Azure Research, Chevron, and on NASA projects), Paige can’t imagine a more exciting charter than accelerating creative work and developer productivity with AI.