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NVIDIA已將Hedera Hashgraph集成到其AI生態系統中,以增強智能係統中的數據完整性和可持續性。
The price of HBAR has dropped in recent trades, testing the support of the 50-day EMA. At the same time, the RSI has also dropped, signaling that the strength of the bulls may be waning.
HBAR的價格在最近的交易中下跌,測試了50天EMA的支持。同時,RSI也下降了,表明公牛的強度可能正在減弱。
If HBAR fails to hold above the 50-day EMA, it could continue to fall and reach the next support level at the 100-day EMA. However, if HBAR manages to rise above the 200-day EMA, it could continue to rally and reach the next resistance level at the 38.2 Fibonacci retracement level.
如果HBAR無法保持超過50天的EMA,則可能會繼續下降並在100天EMA達到下一個支持水平。但是,如果HBAR設法超過200天的EMA,它可能會繼續集會並在38.2斐波那契回替台下達到下一個阻力水平。
Overall, the technical indicators suggest that the HBAR price could continue to fall in the short term. However, the long-term trend of the HBAR price is still bullish.
總體而言,技術指標表明,HBAR價格可能會在短期內繼續下降。但是,HBAR價格的長期趨勢仍然是看好的。
Nvidia and Hedera have partnered to integrate Hedera Hashgraph into Nvidia’s AI ecosystem. The partnership aims to enhance data integrity and sustainability in intelligent systems.
Nvidia和Hedera已合作將Hedera Hashgraph整合到Nvidia的AI生態系統中。該合作夥伴關係旨在增強智能係統中的數據完整性和可持續性。
Nvidia’s Regional VP of Engineering, Anthony Rong, announced the integration, highlighting the focus on securing AI-generated data using Hedera’s public ledger.
NVIDIA的工程區域副總裁Anthony Rong宣布了整合,重點介紹了使用Hedera的公共分類帳獲得AI生成數據的重點。
This integration will enable seamless tracing and verification of data sources, reducing vulnerabilities linked to misinformation and potential flaws in algorithms.
這種集成將實現數據源的無縫跟踪和驗證,減少與算法中的錯誤信息和潛在缺陷有關的漏洞。
The collaboration also marks a convergence of strengths, with Hedera’s network known for its high-speed processing and energy efficiency, aligning with Nvidia’s goal of sustainable high-performance computing.
該協作還標誌著優勢的融合,Hedera的網絡以其高速處理和能源效率而聞名,與NVIDIA可持續的高性能計算的目標保持一致。
Together, the companies are laying the groundwork for ethical AI, prioritizing transparency, trust, and minimal environmental footprint.output: The initiative marks a significant step in advancing decentralized and responsible AI technologies for the future.
公司共同為道德AI奠定了基礎,優先考慮透明度,信任和最小的環境足跡。輸出:該計劃標誌著為未來推進分散和負責的AI技術邁出了重要的一步。
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