At @GoogleDeepMind, we believe one of AI's most transformative impacts is empowering scientists to solve society's hardest problems.
Over the past year, we've evolved our coding agent, @Google@Antigravity, to accelerate end-to-end scientific workflows combining our latest Gemini models with science-specific:
• breakthrough models like AlphaFold and AlphaGenome
• new interfaces like the Biomolecular Structure Viewer
The impact of this integration has been transformative for the pace of our research. As an example, in a single session using Antigravity, our researchers working on antimicrobial resistance surfaced a novel antimicrobial peptide candidate.
To support academic researchers leverage these tools, we've launched an Antigravity for Science credits program and are looking forward to what this enables:
antigravity.google/use-cases…
Read the antimicrobial resistance case study:
deepmind.google/blog/acceler…
Over the past few weeks, we have been putting Gemini 4 Argon to the test on protein engineering workflows at Google DeepMind, and we have some interesting initial (zero shot!) results to share. 🧵👇
It is surreal to see this workflow compressed to a few sessions of prompting with Argon. This was joint work with @ank_parikh, @kelly_ruijie, @jueseph, @alexechu_, Michael, Josh, Luca, Amy, Tristan, Harshnira, Lucy, and the rest of the protein scientists at GDM.