加密货币和人工智能：2024年这两个行业将如何崛起！

人工智能（AI）和加密货币代表了我们这个时代最具颠覆性的两项技术。

一种是让个人自己做他们需要金融机构做的事情；

另一个让机器做他们需要人类做的事情。

随着人工智能继续影响全球各行各业，它也进军加密货币领域，诞生了一种集成人工智能技术的新型货币。

与人工智能相关的加密货币旨在将人工智能的能力带入数字货币和区块链网络。

但人工智能加密货币到底是什么？它们是如何运作的？

AI加密货币使用人工智能进行操作，承诺改善风险管理、无情绪决策和不间断交易。

然而，它们通常容易受到安全漏洞、技术故障和价格波动的影响——就像其他加密货币一样。

AI币是利用人工智能技术进行运营的代币——从为人工智能研究人员建立平台到使用人工智能交易加密货币并做出市场预测。

本文概述了人工智能加密货币、它们的功能、排名前五的人工智能加密项目以及与这些资产相关的收益和风险。

什么是人工智能？

人工智能是指能够执行通常需要人类智能的任务的计算机系统和机器。

这包括视觉感知、语音识别、决策、语言翻译等等。

人工智能旨在创造能够以类似于人类思维的方式运行、反应和学习的智能机器。

然而，人工智能在准确建模金融市场等极其复杂的系统方面仍然存在局限性。

人工智能加密系统中仍然存在偏见、错误和不可预见的差距的风险。

随着技术的不断进步，可能需要进一步的创新和监督，以充分发挥人工智能在加密领域的潜力。

什么是人工智能加密货币？

人工智能加密货币是指利用人工智能技术进行操作的加密货币和代币。

根据项目的目标，集成可以通过多种方式进行。

一些人工智能加密货币专注于为人工智能计算平台和机器学习模型提供动力，而另一些则强调支持去中心化的人工智能市场。

然而，最常见的应用是利用人工智能/机器学习进行自动化加密货币交易策略，其中人工智能用于预测加密货币波动。

例如，人工智能加密基金可能会创建一种代币，允许持有者分享其自动量化交易算法性能的利润。

代币经济将通过智能合约将基金回报的一定比例分配给代币持有者。

In another example, an AI crypto project building a decentralized supercomputing network for machine learning models may reward participants contributing computing resources with native tokens. Users would pay the same tokens to access the network’s processing power for running their models.

The token integrates within the ecosystem to enable value exchange between network participants. These examples highlight that the mechanisms for deriving and accruing value vary across AI crypto coins based on the offering. But artificial intelligence capabilities provide the common thread.

Best AI cryptos making waves

The crypto industry has witnessed multiple high-profile AI crypto launches. Many focused on finance and trading. Below is a list of some of the best artificial intelligence crypto projects in terms of valuations.

Fetch.AI (FET). ThisEthereum-based token powers an open machine-learning network for building AI solutions. Fetch.AI provides the infrastructure for creating intelligent autonomous software agents and running them securely and scalably. Despite declines from its peak, FET retains a market cap of over $760.5 million per CoinGecko.

SingularityNET (AGIX). With a market cap of around $415.9 million, AGIX is the native token of SingularityNET, a decentralized AI services marketplace. Participants can buy and sell various AI algorithms and services using AGIX.

Numeraire (NMR). NMR is the utility token powering the Numerai platform focused on AI for quantitative hedge fund modeling and data science competitions. NMR has a market cap of nearly $104.6 million.

Matrix AI Network (MAN). MAN is the native token for Matrix AI Network, an open-source blockchain project focused on AI capabilities. The network enables miners to run AI applications in a decentralized manner. MAN has a relatively modest market cap compared to others on this list, netting $9.7 million.

DeepBrain Chain (DBC). DBC is the native token behind DeepBrain Chain, a distributed computing network for lower-cost AI processing and machine learning. Despite immense hype earlier on, DBC has a market cap of $6.8 million.

These projects showcase how AI crypto coins aim to merge artificial intelligence and blockchain technology for innovative models. However, the integration is still in the early stages and comes with substantial risk.

The promise and perils of AI cryptocurrencies

AI crypto coins offer immense potential but also uncertainties typical of emerging technologies.

Potential Benefits

• Increased efficiency via faster-automated analysis and transactions.

• Improved risk analytics for better decisions.

• 24/7 high-frequency trading and portfolio management.

• Emotionless non-stop monitoring powered by algorithms.

• Democratization of advanced AI for finance.

Associated risks

• Coding errors leading to incorrect outputs or system failures.

• Cybersecurity vulnerabilities that increase the risk of theft or manipulation.

• Lack of regulation around AI automation in finance and crypto.

• Job losses in traditional finance sectors.

• Extreme price volatility synergistic across AI and crypto.

Conclusion

Although both artificial intelligence and AI crypto coins are relatively in their infancy, there is insight into the benefits they provide, enabling automation, predictive analytics, and efficiency improvements.

Rather than relying solely on human analysis, AI crypto projects incorporate algorithms that can analyze data, identify patterns, make AI crypto forecasts, execute trades, and adapt as market conditions change. This allows for applications such as automated high-frequency trading, portfolio balancing, and risk management without constant human oversight.

However, it’s important to remember that AI crypto coins ulitmately represent speculative assets with rewarding upside and commensurate downside dangers. As the tech matures, AI may emerge as a defining force in fintech and crypto. However, regulatory uncertainty and technology risks imply investing in AI blockchain projects demands thorough due diligence.

$BTC $ETH $SOL

热点：加密货币 人工智能 加密 行业