Recently @elonmusk stated: "We've now exhausted basically the cumulative sum of human knowledge in AI training...". He considered synthetic data as a possible solution.
However, a vast amount of valuable real-world data has not been used yet due to privacy concerns.
With Fully Homomorphic Encryption (#FHE) technology, we can unlock this data securely, enabling AI to learn from it without compromising privacy.
Unlocking private data securely is very important for the future of #AI.
1/ We are excited to announce that we're starting to build the first Collaborative #FHE-(E)VM;
we've released a manifesto detailing our approach and objectives: https://t.co/nuD5FpcTFj The press release is available here: https://t.co/l10FJw61bS
3/ Connect with us on our Discord Server https://t.co/B9OrLGElQV, in our LinkedIn group https://t.co/p9gSFtfR78, subscribe on YouTube https://t.co/QcaOvpsgLF and check out our blog https://t.co/8WS09a7cc8 - we’ve got more cool things coming up!
#privacy#Homomorphicencryption #AI #blockchain
1/ Today we’re proud to present a new joint project by @FairMath & #OpenFHE, bringing exciting new opportunities for the blockchain crowd - adding #Rust support to OpenFHE!
Release - Q2 24
https://t.co/1aGTKLl4XL
1/ Our new #FHE Challenges on https://t.co/jLUmvAD6iF provide more ways to play than before. We want to ensure that participants can use a wide range of programming languages, libraries and tools in solving important privacy challenges.
1/ Today we present new #FHE challenges on #FHERMA (https://t.co/AD3D41K4EX): Parity Сhallenge from @IBMResearch with a prize fund of $5K, CIFAR-10 Image Classification Challenge with a prize fund of $10K and ReLU Challenge prize fund of $5K.
Check out the details in the thread:
1/ The first https://t.co/4OUpy5lG8u challenges are finished! We're happy to share the results with the open-source in our fresh application-layer #FHE components library - Polycircuit https://t.co/KAy6pprsXg
We’re thrilled to share our pre-seed investment in @FairMath, co-led with @GumiCryptos and @polymorphiccap! Fair Math stands at the forefront of privacy computing by offering a suite of tools that simplify the development of fully homomorphic encryption (FHE) applications and actively promoting the adoption of FHE applications.
More on why we invested 👇
https://t.co/UiKSkd3q3E
We are excited to announce our successful $1.40 million pre-seed fundraising round, led by @GumiCryptos, @_inceptioncap and @polymorphiccap, to advance the adoption of Fully Homomorphic Encryption (FHE).
For more details, check out our release: https://t.co/1ssdwBma8f