Ryan Krueger retweeted
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.
Really excited to see where we can take this next, stay tuned for more! Read more about Gemini Argon in the blog post: goo.gle/3W85sXj

