Fhenix, a prominent layer 2 platform that uses FHE cryptography to let Ethereum developers, has started a new collaboration. As per the platform, it is joining forces with Privasea (a top player in FHEML-centered AI+DePIN computing) to advance secure AI app development using the FHE technology. The company shared a comprehensive blog post disclosing the details of the partnership.

Fhenix and Privasea Collaborate to Improve the Safe AI App Development

The company noted that a great data amount regularly moves online, pointing toward the requirement for technologies regarding data privacy. In addition to this, the requirement to secure digital sovereignty has spiked with the arrival of artificial intelligence and large language models. The respective models reportedly utilize huge data amounts for training.

Fully Homomorphic Encryption works as the finest encryption solution concerning artificial intelligence. It permits for straight computation dealing with encrypted data. It lets LLMs process the enormous data amounts required for blind operations, without the need for decryption. This paves the way for a secure and safe relationship between the AI and the consumers.

The Initiative Leverages both the Firms’ Expertise and Increases Interoperability among Them

The collaboration between Privasea and Fhenix intends to benefit from the exclusive expertise and talents of both firms. In this way, it will reportedly progress development by joining the blockchain as well as AI technologies. The efforts in this respect take into account the FHE libraries’ continuous development. They also include the provision of interoperability between the two firms.

The partnership also focuses on commencing the initiatives regarding hardware acceleration. Both platforms will work collaboratively to expand the TFHE-rs library of Zama. It is a core infrastructure constituent of both these entities. The teams of both firms will reportedly integrate the applications of Privasea on the L2 infrastructure of Fhenix. Moreover, the companies will delve into the new mechanisms.

They will enable the integration of extra homomorphic encryption plans in line with CKKS/BGV/BFV. They reportedly permit SIMD simultaneous processing and data packing. Furthermore, this will better support high-precision and large-scale computing scenarios. As a result of this, both entities will see a vast range of product possibilities. The partnership will use the cutting-edge cryptographic technology FHE to bring the latest use cases, such as AI.

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