加密挣扎

对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.

在最近的激增将比特币提升到八个月内的最高水平之后，周四的加密货币价格在很大程度上停滞不前。尽管动作平淡，但分析师观察到，面对宏观经济挑战时，加密货币市场表现出韧性。

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.

本周早些时候，比特币经历了15％的迅速集会，自去年11月以来达到顶峰。但是，这些收益在周四部分逆转，比特币下降了0.6％，至40,088美元。同时，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.

根据ING战略家的说法，考虑到全球经济的持续动荡，加密货币市场表现出令人惊讶的力量。利率上升和美国经济衰退的潜力给包括加密货币在内的风险较高的资产施加了压力。

“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.

“加密市场似乎都表现得非常好，考虑到所有方面。今年，随着乌克兰的战争，利率迅速上升以及美国衰退的威胁，我们今年有很多宏观经济的不确定性。在这样的环境中，您可能希望像加密货币这样的冒险资产会挣扎。”荷兰银行的战略家说。

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，战略家指出，加密货币市场仍然具有弹性，将其归因于投资者对Web3和人工智能（AI）的转变。

“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，我们在上半年的表现出色，这是由于对Web3和AI的兴趣所吸引的，这两者都与加密生态系统密切相关。”

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

此外，战略家指出，加密货币的前景越来越依赖于AI周围的叙述。

“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周围的叙述对于下半年的加密货币至关重要。如果对人工智能的热情继续，它可以很好地获得加密货币的进一步收益。”

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领域，Google母公司Alphabet的子公司DeepMind的研究人员宣布，他们已经开发了一种能够执行科学发现的AI系统。这一突破可以彻底改变科学家进行研究的方式。

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系统（称为图形神经网络（GNNS））在大量的科学论文和数据数据集上进行了培训。它学会了识别模式并建立与人类很难发现的连接。

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.

研究人员在《自然》杂志上发表的论文中描述了GNN系统如何解决20年历史的生物学问题。科学家一直在试图了解不同类型的蛋白质如何折叠成三维结构。

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.

研究人员使用100个氨基酸的分子模拟，将GNN系统设置为预测分子结构的任务。尽管任务很复杂，但AI系统还是能够快速收敛正确的解决方案。

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.

根据研究人员的说法，这一突破可能导致新药和材料的发展。它也可用于研究气候变化和其他紧迫的全球问题。

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.

能够进行科学发现的AI系统的发展是一个主要的里程碑。它突出了人工智能领域正在取得的快速进步。随着AI系统变得越来越复杂，他们将能够为科学知识和技术创新做出更多的贡献。