Fhenix, a leading layer 2 platform utilizing FHE cryptography for Ethereum developers, has announced a new partnership. The company is teaming up with Privasea, a key player in FHEML-centric AI+DePIN computing, to enhance secure AI app development with FHE technology. A detailed blog post outlining the collaboration details was shared by the company.
Fhenix and Privasea Join Forces to Enhance Secure AI App Development
In light of the significant amount of data constantly moving online, the need for data privacy technologies is highlighted. With the emergence of artificial intelligence and large language models, the demand for digital sovereignty has increased. These models rely on extensive data for training purposes.
Fully Homomorphic Encryption stands out as the premier encryption solution for artificial intelligence, enabling direct computation on encrypted data. This allows large language models to process the vast amounts of data required for blind operations without decryption, ensuring a secure relationship between AI and consumers.
The Collaboration Leverages Expertise and Enhances Interoperability
The collaboration between Privasea and Fhenix aims to leverage the unique expertise and skills of both companies to advance development by combining blockchain and AI technologies. This includes the continuous development of FHE libraries and promoting interoperability between the two entities.
The partnership also focuses on launching initiatives for hardware acceleration. Both platforms will work together to expand Zama’s TFHE-rs library, a core infrastructure component for both companies. The teams will integrate Privasea’s applications on Fhenix’s L2 infrastructure and explore new mechanisms.
Efforts will be made to enable the integration of additional homomorphic encryption schemes such as CKKS/BGV/BFV, which support SIMD simultaneous processing and data packing for high-precision and large-scale computing scenarios. This will open up a wide range of product possibilities for both companies, utilizing cutting-edge cryptographic technology to bring new use cases to AI.
Tags: AI
