Key takeaways
- Fhenix and Privasea partner to develop secure AI applications.
- Focus on fully homomorphic encryption (FHE) and extending Zama’s TFHE-rs library.
- Collaboration on software and hardware acceleration initiatives.
Fhenix, a leading name in blockchain technology, has announced a partnership with Privasea, a pioneer in AI and decentralized private inference (DePIN) computing. This collaboration aims to advance the development of secure AI applications using fully homomorphic encryption (FHE).
1/ Today we’re thrilled to announce a partnership with @Privasea_ai, a leader in FHEML-focused AI + DePIN computing.
Together, we’ll be working to advance the development of secure AI applications using Fully Homomorphic Encryption (#FHE). pic.twitter.com/OcJw59LdEO
— Fhenix (@FhenixIO) June 13, 2024
Fhenix is an Ethereum Layer 2 network focused on data confidentiality and a blockchain platform that leverages Fully Homomorphic Encryption (FHE) to enable confidential on-chain computations on Ethereum that allow end-to-end encrypted smart contracts. On the other hand, Privasea specializes in AI and FHEML-focused computing. Its main focus is to ensure that AI models operate securely and privately.
Fhenix Secures $15M in Series A Funding
Secure AI with FHE
The partnership between Fhenix and Privasea will push the boundaries of secure AI applications. The collaboration will focus on extending Zama’s TFHE-rs library, a critical component of FHE infrastructure. This extension will enhance the capabilities of FHE, making it more versatile for AI applications. On top of that, Fhenix and Privasea will work on integrating Privasea’s AI applications with Fhenix’s Layer 2 infrastructure. This integration will provide a welcoming environment for developing and deploying secure AI solutions, that will take advantage of the Fhenix’s advanced blockchain technology.
Fhenix and Privasea aim to optimize the performance of FHE operations, which will result in higher speeds and efficiency. This dual approach will ensure that AI applications can operate at scale and meet the demands of various industries.
By combining the expertise of Fhenix and Privasea, these two companies aim to create a more secure and efficient environment for AI computations. This need has become increasingly apparent with the rise of AI and Large Language Models (LLMs) like Chat GPT, which rely on extensive datasets for their training processes.