Ginoa.io 與 Phron AI 建立策略合作夥伴關係，推動人工智慧和區塊鏈領域的進步

著名的區塊鏈創新者 Ginoa.io 與 Phron AI 建立了戰略合作夥伴關係，以推動人工智慧和區塊鏈領域的進步。

Blockchain innovator Ginoa.io has announced a new partnership with Phron AI, a company developing AI-driven infrastructure for the blockchain. The collaboration will see Phron AI's proof-of-learning consensus mechanism and dual-layered EVM chain integrated into Ginoa.io's decentralized solutions.

區塊鏈創新者 Ginoa.io 宣布與 Phron AI 建立新的合作夥伴關係，Phron AI 是一家為區塊鏈開發人工智慧驅動基礎設施的公司。此次合作將把 Phron AI 的學習證明共識機制和雙層 EVM 鏈整合到 Ginoa.io 的去中心化解決方案中。

Ginoa.io is known for its work on blockchain technology, particularly in areas such as decentralized finance (DeFi), non-fungible tokens (NFTs), and Web3 infrastructure. The company's goal is to make blockchain more accessible and usable for everyone.

Ginoa.io 以其在區塊鏈技術方面的工作而聞名，特別是在去中心化金融 (DeFi)、不可替代代幣 (NFT) 和 Web3 基礎設施等領域。該公司的目標是讓區塊鏈對每個人來說更容易存取和使用。

Phron AI, on the other hand, is focused on developing cutting-edge blockchain infrastructure. The company's flagship product is an AI-driven blockchain protocol that uses machine learning to validate and secure the network. This approach is said to be more efficient and scalable than traditional proof-of-stake or proof-of-work consensus mechanisms.

另一方面，Phron AI 專注於開發尖端的區塊鏈基礎設施。該公司的旗艦產品是人工智慧驅動的區塊鏈協議，它使用機器學習來驗證和保護網路。據說這種方法比傳統的權益證明或工作量證明共識機制更有效率、更可擴展。

Together, Ginoa.io and Phron AI will combine their expertise to create new decentralized technologies. Their partnership is expected to accelerate the adoption of AI-driven consensus mechanisms and pave the way for more scalable, user-friendly, and technologically advanced decentralized solutions.

Ginoa.io 和 Phron AI 將結合各自的專業知識來創建新的去中心化技術。他們的合作預計將加速人工智慧驅動共識機制的採用，並為更具可擴展性、用戶友善性和技術先進的去中心化解決方案鋪平道路。

The collaboration between Ginoa.io and Phron AI is a significant development in the blockchain and AI industries. As the two technologies continue to converge, we can expect to see more innovative and transformative applications emerging in the future.

Ginoa.io 和 Phron AI 之間的合作是區塊鏈和人工智慧產業的重大發展。隨著這兩種技術的不斷融合，我們預計未來會出現更多創新和變革性應用。