Topic: Can Artificial intelligence and blockchain be used together? - page 2. (Read 1662 times)

There are so many people claiming that AI and Blockchain are the future, but they don't necessarily need to combine into one single thing. You can have two seperate trailblazing industries that don't hardly overlap, for example you can see massive advances in solar panels lately, but they don't overlap with the huge changes we have also seen in ceramic manufacturing. ICOs just use all the buzz words they can to grab easily impressed investors.

Why not? I think artificial intelligence will help us develop Blockchain technology in a good way, pulling the distance between us and the people. I think if we can achieve the whole world is known from health care to finance, improve the quality of human life.

Yes, of course, Artificial Intelligence and Blockchain can be used together.

Basically, Blockchain is concerned with maintaining accurate records, authentication, and execution. Meanwhile, AI helps in making decisions, assessing and understanding certain patterns and datasets, eventually leading to autonomous interactions.

AI and blockchain share several characteristics that will ensure smooth interaction in the nearest future. Decentralized databases emphasize the importance of sharing data between multiple clients on a particular network. Similarly, AI relies heavily on large data, moreover, sharing data.

With more data open for analysis, Machine prediction and assessment are considered more correct, and the resulting algorithm is more reliable.

This Forbes article presents a valuable benefits when you combine artificial intelligence and blockchain together, such as the following: AI and blockchain and data security, and the fact that AI can manage blockchains more efficiently than humans. I highly suggest you read this as it will give us a peek of why AI and the blockchain technology can be good together.

Certainly blockchain technology and artificial intelligence can be combined.The knowledge on blockchain technology is on the rise at the moment. There are already projects that are combining artificial intelligence and blockchain technology.

Interesting question. I think this is not a problem. Even in my opinion, when artificial intelligence reaches get into the mass business, I think they will be really useful for all projects.

blockchain and AI are two different technology and of course in future both will be used together and both technology have the potential to become even more revolutionary when put together. Both serve to enhance the capabilities of the other, while also offering opportunities for better oversight and accountability.

Here's how I see it. The application of blockchain to AI would be so that the coding is decentralized across multiple servers and the AI won't be tied down to just one brain per se. If one server shuts down, the AI would still be functional since it's on the cloud. Kind of terrifying actually.

Yes definitely, as a matter of fact, there are some ico projects that has already has this kind of concept and i guess it would be very promising in the future.

I think it is possible to combine artificial intelligence and blockchain in today's technology very well, if it helps humanity why not develop it for tomorrow.

Creative humans can create anything with their capabilities, including inserting Artificial Intelligence into their blockchain for perfect operation. This will be a great application that combines Artificial Intelligence and blockchain to work together, speed and accuracy that will compete with other industries.

Since I joined the cryptocurrency world, projects that emerges Artificial Intelligence with Blockchain technology always comes out being successful so it wont be a news to me when they are used together. This is really a better pair and I personally like it.

Both artificial intelligence and blockchain can be used together. Both operate in a different way and can be fused together to achieve a common goal in the advancement of a particular targeted project.

Artificial intelligence is one of the advances in science that can be applied to everyday life. Especially in the automotive or computer industry. I think artificial intelligence can work with blockchain technology in working on sustainable projects. One example in the automotive industry that includes thousands of goods into cars. Blockchain is here as a divider circuit coordinator so that at the same time all servers in the industry have accurate, robotically controlled data.

Now many projects in the field of artificial intelligence are launched in conjunction with the blockchain. This is one of the most relevant topics. The fact is that artificial intelligence is a long-term project.

Can you name such projects for reference?

Artificial Intelligence and Blockchain technology are two different things and their merging has really helped the ecosystem. Projects which merges the two has become successful and I think they are good to go together.

Yes, this is definitely possible. The blockchain can be used in artificial intelligence apps for entering the data into the systems and obtaining the results. This will guarantee the accuracy of data. Blockchain can also establish a marketplace for AI systems. The blockchain technology can eliminate the barriers to entry in this field for the small scale players by reducing the competitive advantage available to technological giants.

First, let us get a brief idea about what is AI and Blockchain.
 
AI refers to Artificial Intelligence, which is also called Machine Intelligence (MI). AI is intelligence demonstrated by machine in contrast to Natural Intelligence (NI) which is seen in humans and animals.
The term artificial intelligence is applied when a machine copies “cognitive” functions that human relate with other humans mind, such as “learning” and “solving problems”.
 
From the functions of speech-pattern recognition to self-driving cars, AIs’ goal is to learn and apply knowledge that is extracted from a large amount of data to make them more intelligent.
According to Don & Alex Tapscott, authors Blockchain Revolution,“The blockchain is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value.”
Blockchains’ main features consist of transparency, security, and authentication. Wherein the records are transparent and visible publicly, it is secure as the data is immutable or incorruptible and authenticity refers to the verification process of the user’s identity.
 
HOW CAN AI COVER BLOCKCHAINS FLAWS?
 
The blockchain is concerned with keeping correct data, authentication, and execution. Even though Blockchain is powerful it has its own limitations. Some of which are technical and others are inherited from the old minded culture of the financial services sector. The few things in which AI can cover up blockchains flaws are:
 
1. Energy consumption
One of the terms in blockchain is mining. Mining is a tough job and consumes a huge amount of energy to complete the task. In optimizing energy consumption, AI has proven to be very efficient. If we see that efficiency, it can even help the blockchain in optimizing the energy. This would help in lower investment in mining hardware.
 
2. Security
The blockchain is next to impossible to hack, however, as we go deeper, the layers and applications are not that secure.  AI has been progressing at a good pace from last two years. AI can be of help to blockchain to guarantee a secure application deployment, mainly given the fixed structure of the system.
 
3. Efficiency
In 2016, Deloitte estimated a total cost of $600 million for validating and sharing transactions on the blockchain.  An intelligent system might be of assistance here. It can compute on the fly the likelihood for particular nodes to be the first performing a certain task and informing the other miners to shut down efforts for the certain transaction and eventually cut down on total cost.
 
HOW CAN BLOCKCHAIN COVER UP AI’s FLAWS
 
1. Can Help AI to Explain Itself
AI black-box suffers from explainability problem. it cannot explain itself. Having a clear trail will increase the trustworthiness of the data and the models. It will also help to trace the machines decision-making process. So, if you are not convinced about any decision is taken by the machine you can have a look at the process yourself and evaluate it.
 
2. Increase AI effectiveness:
AI works better when it has more data to analyze. So, a secure data sharing means more data, which means more models, more models result in better actions – better results and better new data. The network effect is all that matter at the end of the day.
 
3. Reduce catastrophic risks scenario
An AI coded in a DAO with specific smart contracts will be able to only perform those actions, and nothing more. There won’t be additional actions taken,  whatever is specified will be brought into action.
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Exactly! So do you think these both technologies could work in harmony with each other and conceal each other's flaw?Thanks for the comment though.