Google’s code editor, Antigravity, is an AI-assisted IDE (Integrated Development Environment) with native agentic and generative AI capabilities built into the platform to rapidly accelerate computational and data driven development and research. Antigravity is built on top of the Visual Studio Code editor for a familiar but accelerated user experience. The embedded agentic assistance allows users to spend more time solving research problems and less time debugging problematic code. This workshop is designed for researchers of all coding skill levels. We will walk through simple, research-grounded examples to help you fit the Antigravity framework immediately to your own projects. 

In this 2-hour virtual session, you will:

• Automatically visualise and explore your datasets.

• Wrangle and clean your data “instantly”.

• Refactor code to execute efficiently on HPC environments or similar.

• Produce machine learning pipelines that immediately fit your research problems.

Who should attend:

PhD students, researchers, industry professionals, anyone looking to accelerate your work with AI. Use case will be grounded in typical scientific workloads.

Check out all of the AI for Science, Build with AI series:

• May 7: Python and AI fundamentals

• May 14: Tailoring LLMs: RAG and Fine-Tuning

• May 21: AI Agents for Research

• May 28: AI-Assisted Research with Antigravity
  

Come to one or all sessions, everybody welcome! You will need to register for each event.

Requirements:

• A Google account to use Antigravity and AI Studio.

• Before the session please download and install the Antigravity IDE for your system by following the instructions here: https://antigravity.google/download#antigravity-ide
  

Course Content:

• https://gdgaiforscience.github.io/Build-with-AI/

As our speaker is donating their time, we want to ensure a full and engaged event. Please reserve your spot only if you are committed to joining us for this workshop.