ai blockchain new wisdom

Ⅰ How to realize blockchain + AI

Currently a bit difficult
Blockchain can be summed up in one sentence as decentralization, using trust protocols between distributed data nodes to achieve data sharing Upgrade with mining. Artificial intelligence covers a wide range of subjects, including language recognition, image recognition, machine learning, and intelligent logic.

II How Blockchain Changes AI

First, blockchain will facilitate the creation of cleaner and more organized personal data. Secondly, the blockchain will facilitate the emergence of new markets:
1. For example, data markets (this is easier to implement);
2. For example, model markets (this is much more interesting);
3. There may even be an AI market eventually. Therefore, simple data sharing and new marketplaces, combined with blockchain data verification, will provide smoother integration, lowering barriers to entry for small businesses and narrowing the competitive advantage of tech giants. In the effort to lower the barriers to entry, two problems are actually solved, namely providing wider data access and more efficient data monetization mechanisms;
Increasing trust in humans: once part of the task will be handed over to automated virtual machines Agents to manage, clear audit trails will help bots trust each other (and help us to trust them). This will also ultimately increase machine-to-machine interactions and transactions after having itemized data and coordinating decision-making, coupled with a robust mechanism to reach a quorum (highly relevant for swarm bots and multi-agent scenarios) as a secure means of .
Reduced catastrophic risk: AI written in a DAO with a specific smart contract can only perform those actions and nothing more (then its action space is also limited). Although the interaction of AI and blockchain technology can bring many benefits, there is still a big problem:
AI was born in an open source environment, in which data is the real moat. But with the democratization of this data and the open source of software, how can we ensure that AI will succeed and continue to evolve? What will the new moat be? My only guess at this stage is…talent.
Lianqiao Education Online’s Xueshuo Innovation Blockchain Technology Workstation is the only approved “blockchain technology major” pilot project carried out by the School Planning and Construction Development Center of the Ministry of Education of China. workstation. The professional station is based on providing students with diversified growth paths, promotes the reform of the combination of professional degree research, production, study and research, and builds an applied and compound talent training system.

III How AI will change the blockchain

The blockchain is extremely powerful, but it also has its own limitations. Some of this is tech-related, while others come from an old-school culture inherent in financial services, but all of them will be influenced by AI in some way:
Power consumption: mining is an extremely Difficult tasks that require a lot of electricity and money to complete. And AI has proven to be an effective means of optimizing power consumption, so similar results can be achieved in blockchain, which may lead to lower investment in mining hardware.
Scalability: The blockchain is steadily developing at a rhythm of 1MB every 10 minutes, and has now accumulated to 85GB. Satoshi Nakamoto first proposed “blockchain pruning” (such as removing unnecessary data about fully consumed transactions) as a possible solution, AI could introduce new decentralized learning systems such as federated learning, or Introduce new data sharding technology to make the system more efficient.
Security: Even though the blockchain is almost impossible to attack, the deeper layers and applications of the blockchain are less secure (such as DAO, Mt Gox, Bitfinex, etc.). The incredible progress made in machine learning over the past 2 years has made AI an excellent ally for blockchain to ensure secure application deployment, especially given the fixed architecture of the system;
Privacy: The privacy concerns of owning personal data cause regulatory and strategic concerns about competitive advantage. Homomorphic encryption (operating directly on encrypted data), the Enigma project, and the Zerocash project are all feasible solutions. This problem is closely related to the previous scalability and security issues, and the importance is the same;
Efficiency: Deloitte (one of the Big Four accounting firms in the world) estimates the total operational cost of validating and sharing transactions on a blockchain to be around $600 million per year. An intelligent system might finally be able to calculate in real-time the probability of a particular node being the first to perform a particular task, cutting the overall cost by giving other miners the possibility to forgo their efforts on that particular transaction. In addition, even with some structural constraints, better efficiency and lower power consumption may reduce network latency and thus make transactions faster;
Hardware: miners (not necessarily companies can also�� is an individual) investing incredible amounts of money into specialized hardware components. Since power consumption has always been a key issue, many solutions have been proposed and more will be introduced in the future. As soon as the system becomes more efficient, some of the hardware may be converted (sometimes in part) for neural networks (mining giant Bitmain is doing this);
Lack of talent: this is a leap of faith, But equally we are trying to automate data science itself, I don’t see why we can’t create virtual agents that can create new ledgers (or even influence and maintain ledgers);
Data: In the future when all our data All on the blockchain, companies can buy directly from us, need help to access authorization, track data usage, and often need to figure out what’s going on with personal information at the speed of a computer, which is what smart machines do .
Lianqiao Education Online’s Xueshuo Innovation Blockchain Technology Workstation is the only approved “blockchain technology major” pilot project carried out by the School Planning and Construction Development Center of the Ministry of Education of China. workstation. The professional station is based on providing students with diversified growth paths, promotes the reform of the combination of professional degree research, production, study and research, and builds an applied and compound talent training system.

ⅣHow to combine artificial intelligence and blockchain

The impact of the black technology AI in recent years can be described as wave after wave, from Deep Blue to AlphaGo, all of them Let people sigh time and time again for the subtlety of technology and the powerful learning ability of AI.

So what breakthroughs and innovations will the combination of AI and blockchain bring?

Let’s take a look at the evolution of the blockchain. From the blockchain 1.0 marked by BTC to the blockchain 2.0 marked by “smart contracts”, which is marked by Ethereum, to the blockchain 3.0 marked by EOS, which is more scalable.

As far as BTC is concerned, it has a single function. For users, it is nothing more than mining and transfer. So there is an upgraded version of ETH.

ETH provides a development platform for users to write smart contracts and publish applications, but it has insufficient performance and expensive fees. This is when BM launched EOS.

One of the main reasons why EOS has quickly gained attention is that it is more scalable than Ethereum. It is stable and secure, but “the power of the super node is not enough to decentralize” is not as decentralized as ETH. That is to say, it compromises the degree of decentralization in order to achieve fast enough data processing. That’s when Velas appeared.

On the basis of the characteristics of EOS, Velas uses AI to enhance and achieve decentralization. By introducing AI (artificial intelligence) into blockchain technology, it solves the drawbacks brought by the rule of man, and automatically adjusts through AI The system produces the best results without affecting the processing standards of the system, reducing consensus costs.

“AI is technological innovation, and blockchain is institutional innovation”

Ⅳ AI is artificial intelligence, BI is blockchain intelligence, what does CI mean

Artificial Intelligence AI, Business Intelligence BI, CI (Customer Intelligence). Some people also call it cloud intelligence because too much customer data is stored in the cloud.

Ⅵ What impact do you think the combination of AI and blockchain will have?

Xingyuncoin is AI and district The product of the combination of blockchain, a new model that can generate wealth in sports, records the number of steps through smart products such as watches, bracelets, etc., forced to exercise can restore the health of many people. Of course, there are many applications in this area, so I won’t list them here.

VII The relationship between artificial intelligence and blockchain

The common ground between artificial intelligence and blockchain
Whereas blockchain is concerned with maintaining accurate records, authentication and execution, AI facilitates decision making, evaluating and understanding certain patterns and data sets, ultimately resulting in autonomous interactions. AI and blockchain share several characteristics that will ensure seamless interactions in the near future. The three main features are listed below.
1. AI and blockchain require data sharing
Distributed databases underscore the importance of sharing data among multiple clients on a given network. Likewise, AI relies on big data, especially data sharing. The more open data is available for analysis, the more accurate the machine’s predictions and assessments will be, and the more reliable the resulting algorithms will be.
2. Security
When high-value transactions are processed on a blockchain network, this places great demands on the security of the network. This can be implemented through existing protocols. For AI, the autonomy of machines also requires high levels of safety to reduce the likelihood of catastrophic events.
3. Trust is a must.
There is no greater threat to the advancement of any widely accepted technology than lack of trust, nor does it preclude artificial intelligence and blockchain. In order to facilitate communication between machines, there needs to be an expected level of trust. ��To perform certain transactions on a blockchain network, trust is a necessary condition.
The impact of blockchain and artificial intelligence on ordinary people
In simple terms, blockchain is a community-based technology that makes the exchange of value more secure. Blockchain is like its Same name. It is a series of continuously extending chains of many data blocks, each block contains an encrypted transaction record, the blocks are arranged in chronological order and secured by a cryptographic system. Blockchain is a technology that can change the rules, and its emergence is a revolutionary innovation.
Blockchain also has many functions, and its specific applications are also very wide. For example: if the blockchain is used in the food industry, people will no longer worry about eating harmful food. If blockchain is used for diamond production, consumers will never have to worry about buying fake diamonds again. If the blockchain is used in the education industry, intellectual property protection can be strengthened. If the blockchain is used in the insurance industry, it can alleviate the information asymmetry of the insurance business and help improve the security of the insurance business.
The impact of blockchain and artificial intelligence on ordinary people can be said to be huge. Just imagine, if the blockchain and artificial intelligence are combined, will their role expand? Yes, the combination of the two can indeed have more impact to change the lives of ordinary people.
Blockchain and artificial intelligence are two extremely important roles in the field of technology, each of which brings convenience to our production and life. If we find an intelligent way to make them work together, the impact of their interaction is unimaginable. This is also the core of OMT. After the combination of these two technologies, the future application scenarios are revolutionary and exciting. In the new ecological construction, data storage, sharing mechanisms, platform issues, security issues, etc. can all be Use each other’s technology to achieve overcoming difficulties. OMT will create maximum value for global users and enterprises through blockchain + artificial intelligence technology, and bring more convenience to ordinary people.
After answering, I hope to accept it, thank you!

VIII What will happen to the combination of artificial intelligence and blockchain

Will the combination of artificial intelligence and blockchain become the next milestone?
Blockchain 1.0 marked by BTC to Blockchain 2.0 marked by ‘smart contracts’ combined with Ethereum, and then to Blockchain 3.0 marked by EOS which is more scalable.

As far as BTC is concerned, it has a single function. For users, it is nothing more than mining and transfer. So there is an upgraded version of ETH.
ETH provides a development platform for users to write smart contracts and publish applications, but it has insufficient performance and expensive fees. This is when BM launched EOS.
One of the main reasons why EOS has quickly gained attention is that it is more scalable than Ethereum. It is stable and secure, but “the power of the super node is not enough to decentralize” is not as decentralized as ETH. That is to say, it compromises the degree of decentralization in order to achieve fast enough data processing. At this time, the application of AI appeared.
Take Velas as an example: on the basis of the characteristics of EOS, Velas uses AI to enhance and achieve decentralization. By introducing AI (artificial intelligence) into blockchain technology, it solves the problem. The drawbacks brought by the rule of man, through AI automatic adjustment of the system to produce the best results, reduce the cost of consensus.
“AI is technological innovation, blockchain is institutional innovation” Will AI combined with blockchain be a new milestone~

Ⅸ What is the relationship between artificial intelligence and blockchain

Blockchain and artificial intelligence have been very popular in recent years

First of all, the blockchain is to establish a decentralized network. The so-called decentralization means that this network does not belong to you or belong to me.

It belongs to everyone.

Artificial intelligence refers to a new technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. In other words, “machine’s self-learning”

In this way, we can think about the combination of blockchain and artificial intelligence.

First of all, we need to understand that the blockchain can be simply divided into three stages.

In the first three stages, there are: inability to truly achieve decentralization, low scalability, incentives for block producers and the best of the entire network. Problems with revenue mismatch, network always running at maximum capacity, etc. Serious waste of resources and reduced efficiency.

So can we combine artificial intelligence into the underlying public chain technology to solve these problems?

The answer is yes! And there has been a team of research and development, and has made some progress.

Velas is a self-learning and self-optimizing public chain that enhances its consensus algorithm through artificial intelligence (AI)-optimized neural networks, and is committed to improving the security and interoperability of the transfer process and smart contracts sex, and high�� Scalability. Velas adopts AI-enhanced DPoS consensus to achieve complete decentralization without compromising security and transaction speed. Not only that, AI chooses who will mortgage tokens according to the needs of the blockchain; Velas only produces blocks when needed; every 1 second to every 2 minutes; scalability (up to 30,000 TPS); block producers are selected through human intuition.

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