Blockchain and AI: That Will Be The Perfect Combination

Artificial intelligence and blockchain are now powerful innovation engines. They are now revolutionizing every aspect of society. Also, they are expected to contribute to the growth of the world economy. The future is here, where robotic cars and decent human assistants can make appointments for you. In both normal and meaningful ways. With the emergence of new collaboration platforms, participants no longer have to trust “unreliable” intermediaries. Such as Facebook, Youtube, and other web-based platforms. What are the possibilities for combining these two technology fields?

Artificial intelligence is any work performed by a program or machine that requires the ability to be “intelligent”. The AI ​​system has the potential for human intelligence. Such as planning, education, logical problem solving and social skills, and creativity. Today there is a renewed interest in artificial intelligence. Thanks for the success of machine learning. The explosion of the amount of data available to help improve skills, especially deep learning, and model training. Developments such as self-driving cars and delivery robots are on the rise, and so are concerns.

Artificial intelligence also has its downsides. It can violate the right to privacy by spreading false news, including highly realistic pictures, sounds, and video recordings. There are also questions about AI Power being monopolized by several players, such as Google, Microsoft, and Amazon. They prevent others from gaining access to data, experts, and computing resources.

A blockchain is an open distributed account shared by all users of the network through a protocol. Records (such as transactions) are stored in blocks with hashes and timestamps. Each block is connected to the previous block, forming a chain. One of the key features of blockchain is its immutability. It is almost impossible to change any information without the consent of the whole network.

Blockchain technology is divided into two groups based on consensus protocols. In proof-of-work (POW) blockchains like Bitcoin and Etherium, users (miners) create new blocks by solving mathematically complex problems (mining). Miners who have the right to form blocks will receive rewards and transaction fees. A lot of power is required to use the POW protocol. In addition, miners may be the victims of “majority attacks” during which block rewards are reduced. Recent developments such as cryptocurrency Bitcoin-Gold, Verge, GenCash, etc.

Next-generation blockchains use Proof-of-Stack (POS) protocols and do not require energy-intensive mining processes. Among them, participants’ chances of creating blocks increase with the number of coins — their share. The most famous of these blockchain groups are Nxt, Peercoin, EOS with Delegated Proof of Stake, Bitcoin Clone Ouroboros, fishing, and Algorand. The algorithm is a POS-based blockchain by MIT and an algorithm for solving problems of Byzantine generals.

If we put aside the current hype surrounding cryptocurrency, which deviates from the real potential of blockchain, these technologies could really be the basis for a new serverless Internet and a decentralized World Wide Web. Where users can control their data and identity. Blockchain promises to revolutionize the healthcare system by giving everyone control over how their records are used. What’s more, almost every platform is known today, including Facebook, eBay, Uber, and Airbnb, may have better options.

Blockchain has many weaknesses, including in terms of security, scalability, and efficiency. And AI has problems with the possibility of privacy attacks instead, as well as a lack of trust and the ability to explain how it works. The combination of these two technologies seems inevitable. They can fundamentally complement each other to create a new generation of digital systems.

As shown, blockchain will remove trust in artificial intelligence, provide privacy and explanation. Artificial intelligence will allow you to build machine learning systems on top of blockchains with enhanced security, scalability, and interpretability. More effective personalization and management capabilities.

Blockchain can serve as the basis for a decentralized market. It is an integration platform for various artificial intelligence elements including data, algorithms, and computing power. This could lead to a whole new level of AI innovation and use. Blockchain will make such decisions more transparent, explanatory, and credible. Since all data from the blockchain is publicly available, artificial intelligence will be the basis for anti-counterfeiting and protection of privacy.

One of the driving forces behind the development of artificial intelligence is enough data that may be available to researchers, developers, and entrepreneurs. Data is the “gold” of the digital economy, but the threshold of data power is higher. First, unless you work for one of the online giants like Facebook or Google, it’s hard to find enough data for your learning model. In this case, the constructive competition among researchers is very limited. Second, there is a growing concern about privacy — there are already many cases of personal data leaks and abuse. Consider, for example, the recent scandal involving Facebook, which collected data on 50 million users of the social network without the consent of Cambridge Analytica.

Blockchain provides information transparency and accountability. This enables you to know exactly which user’s information, when and by whom it was accessed. As blockchain puts people back in control of their data, users will be able to share it with greater confidence. They know that the data will be used for personalization or other useful purposes without any hindrance.

Physicians and scientists will have access to a huge amount of anonymous medical records. Accelerate drug discovery and the development of new treatments and therapies. Part of that idea is already beginning to work because physicians around the world can study data from similar cases. And there will be more hope for patients with rare diseases.

Also to control and share your data, blockchain technology allows transactions using smart contracts. To open up the possibility of creating a more secure and private market due to the absence of intermediaries. Such a venue would reduce the barriers to entry for young players, level the playing field, and thus encourage innovation.

Using the Zero-Knowledge Proof Protocol, businesses and researchers can find the information they need without knowing the details of the information and the identity of the owner. The ability to identify and filter necessary data is important while maintaining user privacy. Perhaps, because of this, a new wave of AI evolution will even begin.

AI holds great promise for handling devices that do not trust each other. Groups of robotic devices, IoT entities, and various wearable devices can now coordinate their actions. Also, they can make joint decisions.

In this situation, the blockchain acts as an integration platform that attackers can only violate if they control most of the devices. It opens up a wide range of applications, from updating the “firmware” of the refrigerator to adjusting the movements of combat robot teams. OK, the same principles can be used to control botnets. Currently, security experts are able to deactivate the botnet as soon as the control center is discovered. But if this single fact of loss is returned with a blockchain.

Thousands of settings are required for the development and operation of a blockchain. The trade-off is also required for security, performance, and decentralization. AI can facilitate appropriate decision-making by automating and optimizing blockchain activity for higher performance and better control. And given that all blockchain data is public, AI will play a key role in ensuring user privacy and confidentiality.

If the invader does not own most of the mine’s assets, breaking the blockchain is almost impossible. However, unfortunately, applications built on blockchain platforms are not so secure. DAO, for example, is one of the largest crowdfunding platforms with $ 150 million worth of ether cryptocurrency. This led to the theft of $50 million in funding deals. With the rapid development of machine learning, smart algorithm-driven blockchains can detect attacks very well and turn on defenses automatically. If the damage is inevitable, the AI ​​can at least separate the compromised element from the rest of the blockchain platform.

By managing the blockchain, he can improve the scalability and reliability of the accounts he distributes. For example, if the volume of transactions increases dramatically, AI can automatically increase the speed of block-creation. It will increase throughput during advanced confirmation.

Worried about the impact of the next election? Or if you are concerned about the security of your data on social networks, Blockchain is for you. It may take control of personal information. But you have to pay for it. Traditional centralized systems such as Facebook, Netflix, and YouTube collect user data and analyze the content for personalization.

That’s why when you log in to Facebook, you see posts from friends that you hang out with, or when you turn on Netflix, you see a movie that suits your tastes. Returning to privacy means no one will know your taste. And you may have to scroll through many pages to find relevant content without relying on an automated selection system. But is it possible to provide privacy and confidentiality at the same time?

AI may come to the rescue with the new content selection model. Decentralized content providers can use artificial intelligence. Like blockchain-based social networks, they can personalize distribution on behalf of the user.

Machine learning systems run on users’ devices, analyzing data from websites they’ve visited. In this case, the relevant content will be downloaded by the user’s device itself, not “imposed” by the server. In this case, all calculations will be performed locally — personal data will not leave the user’s device. Also, user content preferences can be “sanitized” to prevent providers from profiling content. Thus, such models provide both privacy and personalization.

Originally published at https://blockchain101.famecoin.ai.