人工智能區塊鏈智能合約

by Mariya Yao

姚iya(Mariya Yao)

區塊鏈和人工智能正在徹底改變這10個行業 (Blockchain and AI are revolutionizing these 10 industries)

This piece was written & edited in collaboration with TOPBOTS writer Karin Flieswasser.

這篇文章是與TOPBOTS作家Karin Flieswasser合作編寫和編輯的。

Organizations are increasingly looking to adopt blockchain technologies for alternative data storage. And with heaps of data distributed across blockchain ledgers, the need for data analytics with AI is growing.

組織越來越多地希望采用區塊鏈技術來替代數據存儲 。 隨著跨區塊鏈分類賬分布的大量數據，對AI進行數據分析的需求正在增長。

The combination of AI and blockchain is fueling the onset of the Fourth Industrial Revolution by reinventing economics and information exchange.

AI和區塊鏈的結合通過重新發明經濟和信息交換，助長了第四次工業革命的爆發 。

From healthcare to government, the potent combination of both AI and blockchain is slowly but surely transforming industries. Here are 10 industries where these two technologies could be applied to great effect.

從醫療保健到政府，人工智能和區塊鏈的強大結合正在緩慢但必將改變行業。 在這10個行業中，可以應用這兩種技術取得顯著成效。

1.精密醫學 (1. Precision Medicine)

Google DeepMind is developing an auditing system for healthcare data. Blockchain will enable the system to remain secure and shareable, while AI will allow medical staff to obtain analytics on medical predictions drawn from patient profiles.

Google DeepMind正在開發用于醫療保健數據的審核系統 。 區塊鏈將使系統保持安全性和可共享性 ，而人工智能將使醫務人員能夠獲取從患者資料中得出的醫學預測分析。

The project’s aim is to facilitate information exchange for patient benefit. But it could also derive game-changing insights for medical staff to use.

該項目的目的是促進信息交流以使患者受益。 但這也可以為醫務人員提供改變游戲規則的見解。

With an error rate of <2%, AI can generate valuable and reliable insights in data oceans made available by healthcare institutions.

AI的錯誤率小于2％，可以在醫療機構提供的數據海洋中生成有價值且可靠的見解。

DeepMind’s blockchain technology has already been tested on NHS data, and its AI applications are being deployed to spot warning signs of degenerative eye conditions for Moorfields Eye Hospital.

DeepMind的區塊鏈技術已經在NHS數據上進行了測試 ，其AI應用程序正在部署中，以為Moorfields眼科醫院發現退化性眼疾的警告信號。

2.智能能源，智能建筑 (2. Smart Energy, Smart Buildings)

Green-friendly AI and blockchain help reduce energy waste and optimize energy trade.

環保的AI和區塊鏈有助于減少能源浪費并優化能源貿易。

For example, an AI system governing a building can oversee energy use by counting in factors like the presence and number of residents, seasons, and even traffic information.

例如，管理建筑物的AI系統可以通過計算居民的存在和數量，季節甚至交通信息等因素來監督能源使用。

To supply the energy, distributed blockchain technology is implemented for transparent and cost-effective transactions between producers and consumers, while machine learning algorithms can even hone in on transactions to estimate pricing.

為了提供能量，分布式區塊鏈技術被實現用于生產者和消費者之間的透明且具有成本效益的交易，而機器學習算法甚至可以磨練交易以估計價格。

Blockchain combined with AI significantly expedites real estate related transaction processes which can otherwise go through too many channels before a contract is approved.

結合AI的區塊鏈可顯著加快房地產相關交易流程，否則在批準合同之前，這些流程可能會通過太多渠道。

3.沒有更多的血鉆 (3. No More Blood Diamonds)

IBM Watson is experimenting with the combined strengths of AI and blockchain. Their research team is developing Everledger with blockchain technology to tackle fraud in the diamond industry.

IBM Watson正在試驗AI和區塊鏈的綜合優勢。 他們的研究團隊正在利用區塊鏈技術開發Everledger ，以解決鉆石行業的欺詐行為。

They are merging this with cognitive analytics that heavily “cross-check” regulations, records, supply-chain, and IoT data in the blockchain environment.

他們將其與認知分析相結合，后者在區塊鏈環境中大量“交叉檢查”法規，記錄，供應鏈和物聯網數據。

Combined with a DAO (Decentralized Autonomous Organization), an AI-infused blockchain can even become fully self-governing, capable of adapting on the fly to changes in the environment.

結合DAO(去中心化自治組織)，注入AI的區塊鏈甚至可以完全實現自治，能夠即時適應環境變化。

4.公共科學 (4. Public Science)

The file-drawer problem in academia happens when researchers don’t publish “non-result” experiments. Duplicate experiments and a lack of knowledge follow, trampling scientific discourse.

當研究人員不發表“非結果”實驗時，就會發生學術界的文件抽屜問題 。 隨后重復的實驗和知識的缺乏，踐踏了科學的話語。

To resolve this, experimental data can be stored in a publicly accessible blockchain. It also seems to us that adding data analytics could help identifying elements, like how many times the same experiment has happened or what the probable outcome of a certain experiment is.

為了解決這個問題，可以將實驗數據存儲在可公開訪問的區塊鏈中。 在我們看來，添加數據分析可以幫助識別元素，例如同一實驗發生了多少次或某個實驗的可能結果是什么。

Hossein Kakavand, CEO of Luther Systems, forecasts that AI will also play a bigger role in public science once “smart contracts” transacted by blockchain technology require smarter “nodes” that function in a semi-autonomous way.

路德系統(Luther Systems)首席執行官Hossein Kakavand 預測 ，一旦通過區塊鏈技術進行交易的“智能合約”需要以半自治方式運行的更智能“節點”，人工智能在公共科學中也將發揮更大的作用。

Smart contracts simulate contractual agreements and can have wide-ranging applications, also in public science, when academics embrace the blockchain for knowledge transfer.

當學者采用區塊鏈進行知識轉移時， 智能合約可以模擬合同協議，并且可以在公共科學中具有廣泛的應用。

5.網絡安全2.0 (5. Cyber Security 2.0)

When AI and blockchain are put together, they provide a double shield against cyberattacks.

當AI和區塊鏈放在一起時，它們為抵御網絡攻擊提供了雙重保護。

Machine learning algorithms can be trained to automate real-time threat detection and to continuously learn about the behavior of attackers, thereby thickening the malware detection armor.

可以訓練機器學習算法來自動執行實時威脅檢測，并不斷了解攻擊者的行為，從而增強惡意軟件的檢測能力。

Meanwhile, decentralized blockchains dismantle the inherent vulnerability of centralized databases, requiring cyber attackers to challenge not one but several entrance gates.

同時，去中心化的區塊鏈消除了集中式數據庫固有的脆弱性，要求網絡攻擊者不僅要挑戰一個入口門，還要挑戰幾個入口門。

Another area where AI and blockchain shine together is large data breaches. It is extremely difficult to identify which data may have been poisoned or modified by the attacker. Using blockchain with AI against data vaults allows someone to determine when the breach occurred.

AI和區塊鏈共同發揮作用的另一個領域是大數據泄露 。 要確定哪些數據可能已經被攻擊者中毒或修改是極其困難的。 將AI與數據倉庫結合使用區塊鏈可以使某人確定何時發生泄露。

6.數字版權 (6. Digital Rights)

Digitalization has introduced complicated digital rights to the Intellectual Property management spectrum. But when clever AI learns the rules of the game, it can identify actors who break international copyright law.

數字化已將復雜的數字版權引入了知識產權管理領域。 但是，當聰明的AI學習游戲規則時，它就能識別出違反國際版權法的演員。

As for IP contract management, blockchain technology enables immediate payment methods to artists and authors. Artist Imogen Heap recently suggested the blockchain could help musicians simplify creative collaboration and make money again.

對于IP合同管理，區塊鏈技術支持向藝術家和作者立即付款。 藝術家Imogen Heap 最近建議區塊鏈可以幫助音樂家簡化創意合作并再次賺錢。

Companies like Verizon and Ujo Music count on blockchain to audit licenses and distribute products, with Ujo Music making use of the Ethereum blockchain platform for song distribution.

Verizon和Ujo Music等公司依靠區塊鏈來審核許可證和分發產品，Ujo Music利用以太坊區塊鏈平臺進行歌曲分發。

7.計算金融 (7. Computational Finance)

Smart contracts could also take center stage where transparent information is crucial for trust in financial services. Financial transactions may no longer rely on a human “clearing agent.” Instead, they’d become automatized, performing better and faster.

智能合約也可能占據中心位置，透明信息對于信任金融服務至關重要。 金融交易可能不再依賴人類的“清算代理人”。 取而代之的是，它們將變得自動化，并表現得更快更好。

But since confidence in transactions remains dependent on people, AI can step in to monitor human emotions and predict the most optimal trading environment. Thus, algorithmic trading can be powered by algorithms that trade based on investment patterns correlated with emotions.

但是由于對交易的信心仍然取決于人，因此AI可以介入以監控人類的情緒并預測最佳的交易環境。 因此， 算法交易可以通過交易基于與情緒相關的投資模式算法來供電。

8. BaaS軟件 (8. BaaS Software)

Microsoft, the mother of computer software, is aiming to provide the best BaaS — Blockchain-as-a-Service — platform in the cloud.

微軟是計算機軟件的母親，其目標是在云中提供最佳的BaaS(區塊鏈即服務)平臺。

Microsoft is integrating BaaS modules in Azure, a cloud-computing platform, that users can create test environments for. Blockchains are cheaper to create and test, and in Azure they come with reusable templates and artifacts.

微軟正在將BaaS模塊集成到云計算平臺Azure中，用戶可以為其創建測試環境 。 區塊鏈的創建和測試成本更低，在Azure中，它們帶有可重用的模板和工件。

The BaaS modules are not coded by Microsoft, but are based on the public Ethereum blockchain platform, which is endowed with a broad developer base that can feed well into Azure’s developer base. And unlike some blockchain platforms, Ethereum is interoperable with Azure.

BaaS模塊不是由Microsoft編碼的，而是基于公共的以太坊區塊鏈平臺，該平臺具有廣泛的開發人員基礎，可以很好地融入Azure的開發人員基礎。 與某些區塊鏈平臺不同，以太坊可與Azure互操作。

Competitors like IBM also offer BaaS products.

像IBM這樣的競爭對手也提供BaaS產品。

9.無人駕駛汽車 (9. Self-Driving Vehicles)

Although cars are becoming a data source on wheels — with autonomous driving, chatbots, and smart navigation — not everybody will be able to afford an AI-driven car right away.

盡管汽車已成為自動駕駛，聊天機器人和智能導航的車輪數據源，但并不是每個人都能立即負擔得起AI驅動的汽車。

With car leasing being the second-best option, blockchain technology can promise to simplify the leasing process by reducing the number of people involved, synthesizing all data, and providing an audit trail.

隨著汽車租賃成為第二好的選擇，區塊鏈技術有望通過減少相關人員的數量，綜合所有數據并提供審計追蹤來簡化租賃過程 。

10.電子政務 (10. E-Governance)

Although global organizations like NATO and the UN won’t vanish, blockchain technology and AI could both contribute to the development of direct democracy.

盡管北約和聯合國等全球組織不會消失，但區塊鏈技術和AI都可以為直接民主的發展做出貢獻。

Blockchain and AI together can transfer big hordes of data globally, tracing e-voting procedures and displaying them publicly so that citizens can engage in real-time.

區塊鏈和AI一起可以在全球范圍內傳輸大量數據，跟蹤電子投票程序并公開顯示，以便市民可以實時參與。

Democracy Earth Foundation, an organization aspiring to hack democracy, is jumping on the direct democracy bandwagon. It’s waved political intermediation goodbye as it advocates open-source software, peer-to-peer networks, and smart contracts.

一個渴望破解民主的組織民主地球基金會(Democracy Earth Foundation)正跳上直接的民主潮流。 它倡導開源軟件，對等網絡和智能合約，從而揮舞著政治中介的告別。

The organization also hopes to fight fake identities and reclaim individual accountability in the political sphere.

該組織還希望與假冒偽劣的身份作斗爭，并在政治領域追回個人責任。

挑戰依然存在 (Challenges Remain)

While blockchain and AI combined have enormous disruptive potential across industries, all emerging technologies face substantial challenges.

雖然區塊鏈和AI的結合在各個行業具有巨大的破壞性潛力，但所有新興技術都面臨著嚴峻的挑戰。

You can read more about the 6 major challenges facing widespread blockchain adoption and also the limitations of deep learning approaches in AI.

您可以了解有關廣泛采用區塊鏈的6大挑戰以及AI 中深度學習方法的局限性的更多信息 。

This was originally published on TOPBOTS.com.

這最初發布在TOPBOTS.com上 。

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翻譯自: https://www.freecodecamp.org/news/blockchain-and-ai-are-revolutionizing-these-10-industries-92b07fd12bcd/

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