All Resources
Read all of the latest breakthroughs, insights, and news from Ginkgo.
BlogDecember 17, 2024
Releasing the GDPx2 Functional Genomics DatasetBlogOctober 24, 2024
FT042 - Evolved vs. Engineered Proteins in the AA-0 ModelBlogOctober 23, 2024
High-Throughput Data at New Scales: How to get our industry over the hump of antibody developabilityBlogOctober 10, 2024
FT041 - Locks, Keys and the Limits of AI in BiologyBlogSeptember 17, 2024
AminoAcid-0 (AA-0): A Protein LLM Trained with 2 Billion Proprietary SequencesBlogSeptember 17, 2024
Introducing Ginkgo’s Model API: A Programmable Interface for Ginkgo’s AI ResearchBlogSeptember 17, 2024
Request Free Inference Tokens for Ginkgo's Model APIBlogAugust 29, 2024
FT036 - Stamps, Fishing & the New Alpha NerdsBlogAugust 15, 2024
FT035 - Enriching the Haystack for Better BiotechBlogJune 27, 2024
FT030 - Atoms, Bits & RNABlogMay 1, 2024
FT024 - Creating and Understanding Biology in the AI EraBlogApril 11, 2024
Ginkgo Bioworks Previews Today’s Annual Ferment Conference, Announces “Lab Data as a Service”BlogApril 4, 2024
Ginkgo Bioworks to Host 5th Annual Ferment ConferenceBlogMarch 6, 2024
FT018 - Function Landscapes and the Limits of AI for BioBlogFebruary 28, 2024
Introducing Ginkgo's Technology NetworkBlogFebruary 13, 2024
House Select Committee Tours Ginkgo Bioworks, Previews Biofab1, Ginkgo’s New Integrated Data Generation Facility Set to Launch in 2025BlogDecember 19, 2023
FT011 - Hard, Bad, Bitter: Why I'm Hopeful about AI for BiologyBlogNovember 9, 2023
FT006 - Abstraction Layers and the Foundry Era of Biotech R&DBlogOctober 16, 2023
FT000 - About Foundry TheoryBlogOctober 16, 2023
FT001 - What is a Foundry for Biology?BlogOctober 16, 2023
FT002 - Is Machine Learning the Language of Biology?BlogAugust 29, 2023
Google and Ginkgo: Foundry-Scale Data Meets AI
