"Another similar example that I would like to emphasize is synthetic AI, and generating clinical datasets that are synthetic in nature to be able to do exactly what I mentioned in the previous slide. So a lot of times when we do analysis, we need genomic data that's generated from an Illumina instrument, but you combine it with clinical data that comes from a hospital or a big research network to figure out how these two interact with each other...It's very hard to share this data, and so another way to do this via our platform could be you have the data on the platform and we could give you ways to synthesize that data and make synthetic copies of that data. And now if the synthetic copy is perfect in nature, which means it has all the privacy built in it and you can't set membership attacks on it, you could develop your algorithms and isolations on that data. That data is easier to travel, it's easier to look at the distributions in that data." -- Vinayak Kulkarni, Associate Principal Bioinformatics Engineer, Illumina


Connect:
► Twitter: [ Ссылка ]
► Linkedin: [ Ссылка ]
► Company: [ Ссылка ]



------------
About Gretel
Use Gretel's APIs to fine-tune custom AI models and generate synthetic data that's as good or better than what you already have. On-demand.

► Get started with Gretel: [ Ссылка ]
► Join the Discord community: [ Ссылка ]
► Twitter: [ Ссылка ]
► LinkedIn: [ Ссылка ]
► GitHub: [ Ссылка ]

#dataprivacy #data #machinelearning #ai #generativeai #llm #synthesize #bioinformatics #engineering

свернуть