加密掙扎

對加密友好的政策的希望褪色

Cryptocurrency prices remained largely stagnant on Thursday, following a recent surge that pushed Bitcoin to its highest level in eight months. Despite the lackluster movement, analysts at ING observed that the crypto market was displaying resilience in the face of macroeconomic challenges.

在最近的激增將比特幣提升到八個月內的最高水平之後，週四的加密貨幣價格在很大程度上停滯不前。儘管動作平淡，但分析師觀察到，面對宏觀經濟挑戰時，加密貨幣市場表現出韌性。

Earlier this week, Bitcoin experienced a rapid rally of 15 percent, reaching its peak since last November. However, the gains were partially reversed on Thursday, with Bitcoin dropping by 0.6 percent to $40,088. Meanwhile, ether slid 0.3 percent to $3,192.06.

本週早些時候，比特幣經歷了15％的迅速集會，自去年11月以來達到頂峰。但是，這些收益在周四部分逆轉，比特幣下降了0.6％，至40,088美元。同時，以太滑行0.3％至3,192.06美元。

According to ING strategists, the crypto market was demonstrating surprising strength, considering the ongoing turbulence in the global economy. Rising interest rates and the potential for a U.S. recession have put pressure on riskier assets, including cryptocurrencies.

根據ING戰略家的說法，考慮到全球經濟的持續動盪，加密貨幣市場表現出令人驚訝的力量。利率上升和美國經濟衰退的潛力給包括加密貨幣在內的風險較高的資產施加了壓力。

“The crypto market seems to be holding up remarkably well, all things considered. We’ve had a lot of macroeconomic uncertainty this year, with the war in Ukraine, rapidly rising interest rates, and the threat of a U.S. recession. In such an environment, you might expect risky assets like crypto to struggle,” stated strategists at the Dutch bank.

“加密市場似乎都表現得非常好，考慮到所有方面。今年，隨著烏克蘭的戰爭，利率迅速上升以及美國衰退的威脅，我們今年有很多宏觀經濟的不確定性。在這樣的環境中，您可能希望像加密貨幣這樣的冒險資產會掙扎。”荷蘭銀行的戰略家說。

However, the strategists noted that the crypto market had remained resilient, attributing it to a shift in investor focus toward Web3 and artificial intelligence (AI).

但是，戰略家指出，加密貨幣市場仍然具有彈性，將其歸因於投資者對Web3和人工智能（AI）的轉變。

“But instead, we’ve seen a strong performance in the first half of the year, fueled by interest in Web3 and AI, both of which are closely linked to the crypto ecosystem.”

“但是，我們在上半年的表現出色，這是由於對Web3和AI的興趣所吸引的，這兩者都與加密生態系統密切相關。”

Moreover, the strategists pointed out that the outlook for cryptocurrencies was becoming increasingly dependent on the narrative surrounding AI.

此外，戰略家指出，加密貨幣的前景越來越依賴於AI周圍的敘述。

“The narrative around AI will be crucial for crypto in the second half of the year. If the enthusiasm for AI continues, it could bode well for further gains in crypto.”

“ AI周圍的敘述對於下半年的加密貨幣至關重要。如果對人工智能的熱情繼續，它可以很好地獲得加密貨幣的進一步收益。”

In the realm of AI, researchers at DeepMind, a subsidiary of Google's parent company Alphabet, announced that they had developed an AI system capable of performing scientific discoveries. This breakthrough could revolutionize the way scientists approach research.

在AI領域，Google母公司Alphabet的子公司DeepMind的研究人員宣布，他們已經開發了一種能夠執行科學發現的AI系統。這一突破可以徹底改變科學家進行研究的方式。

The AI system, known as Graph Neural Networks (GNNs), was trained on a vast dataset of scientific papers and data. It learned to identify patterns and make connections that would be difficult for humans to spot.

AI系統（稱為圖形神經網絡（GNNS））在大量的科學論文和數據數據集上進行了培訓。它學會了識別模式並建立與人類很難發現的連接。

In their paper, published in the journal Nature, the researchers described how the GNN system was able to solve a 20-year-old problem in biology. Scientists had been trying to understand how different types of proteins fold into three-dimensional structures.

研究人員在《自然》雜誌上發表的論文中描述了GNN系統如何解決20年曆史的生物學問題。科學家一直在試圖了解不同類型的蛋白質如何折疊成三維結構。

Using a simulation of a molecule with 100 amino acids, the researchers set the GNN system the task of predicting the molecule’s structure. Despite the complexity of the task, the AI system was able to quickly converge on the correct solution.

研究人員使用100個氨基酸的分子模擬，將GNN系統設置為預測分子結構的任務。儘管任務很複雜，但AI系統還是能夠快速收斂正確的解決方案。

According to the researchers, this breakthrough could lead to the development of new drugs and materials. It could also be used to study climate change and other pressing global issues.

根據研究人員的說法，這一突破可能導致新藥和材料的發展。它也可用於研究氣候變化和其他緊迫的全球問題。

The development of an AI system capable of scientific discovery is a major milestone. It highlights the rapid progress that is being made in the field of artificial intelligence. As AI systems become increasingly sophisticated, they will be able to contribute even more to scientific knowledge and technological innovation.

能夠進行科學發現的AI系統的發展是一個主要的里程碑。它突出了人工智能領域正在取得的快速進步。隨著AI系統變得越來越複雜，他們將能夠為科學知識和技術創新做出更多的貢獻。