Fhenix, a leading layer 2 platform utilizing FHE cryptography for Ethereum developers, has announced an exciting new partnership. The company has teamed up with Privasea, a key player in FHEML-focused AI+DePIN computing, to enhance secure AI app development through FHE technology. A detailed blog post was shared by the company to reveal the specifics of this collaboration.
Fhenix and Privasea Join Forces to Enhance Secure AI App Development
With a significant amount of data flowing online regularly, the need for data privacy technologies has become crucial. The rise of artificial intelligence and large language models has also increased the demand for ensuring digital sovereignty. These models require massive amounts of data for training purposes.
Fully Homomorphic Encryption stands out as the ultimate encryption solution for artificial intelligence. It enables direct computation on encrypted data, allowing LLMs to process large amounts of data for blind operations without the need for decryption. This creates a secure and safe interaction between AI and users.
The Partnership Utilizes the Expertise of Both Companies 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. The ongoing development of FHE libraries and ensuring interoperability between the two platforms are key focus areas of this partnership.
Furthermore, the partnership will focus on initiating hardware acceleration initiatives. Both platforms will work together to expand Zama’s TFHE-rs library, a core infrastructure component of both companies. The teams from Privasea and Fhenix 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 allow for SIMD simultaneous processing and data packing. This will enhance support for high-precision and large-scale computing scenarios, opening up a wide range of product possibilities for both companies. By leveraging the cutting-edge cryptographic technology FHE, the partnership aims to introduce new use cases, including AI applications.
Tags: AI