rhindi

They use BFV, which is an FHE scheme allowing a limited number of fast additions and multiplications (enough for their use case).

Zama uses TFHE, which allows any operation (eg comparisons) with unlimited depth.

So if you only need add/mul, BFV, BGV and CKKS are good options. For anything else, you better use TFHE

rhindi

há 2 anosdiscuss

There are some non-ML based approaches for ultra low field MRI that are starting to work: https://drive.google.com/file/d/1m7K1W--UOUecDPlm7KqFYzfkoew... . You can still add AI on top of course, but at least you get a better signal to noise ratio to start with!

rhindi

há 3 anosdiscuss

FHE in general is efficient enough for many applications now. You can see some benchmarks here: https://docs.zama.ai/tfhe-rs/getting-started/benchmarks

rhindi

há 3 anosdiscuss

We are planning several other blog posts to explain all the details.

In the meantime if you want a good introduction to the FHE scheme we use behind the scene, you can take a look here: https://www.zama.ai/post/tfhe-deep-dive-part-1

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