There is a possibility or maybe it is already happening.

Since AI and ML techniques have the enormous capability of data analysis, new and improved data models can be developed by utilizing Blockchain’s decentralized property.

In my opinion, in the future, as part of systemic risk management, it will be possible to significantly reduce risk thanks to the integrated use of IoT and Blockchain technology. It is one of the factors of dynamic development of the concept of new applications of Blockchain technology in various fields of information transfer and conducted transactions on the Internet.

However, has anyone from you already been involved in this research and can he answer the following question: Is it possible today to define the perspectives of applying Blockchain technology in the reduction of systemic risk in the future?

I invite you to the discussion

Dear Shivam Vatshayan, Thank you very much for asking this very important question.

Question:

Can blockchain and Machine Learning work together ?

this is a very important issue that requires scientific research.

It seems to me that it is good that there was a discussion in the question of this question.

This is a very interesting and scientifically important topic.

Because the topic is very important so I still read the answers, I follow the interesting discussion.

I wish you all good and best regards

I found an interesting article on that subject online:

https://medium.com/@Francesco_AI/the-convergence-of-ai-and-blockchain-whats-the-deal-60c618e3accc

Hope that this is useful.

There are a lot of efforts to develop secure and privacy-preserving cloud computing and machine learning, here's a good example of such a platform: Article Ekiden: A Platform for Confidentiality-Preserving, Trustwort...

Yes, it can be good union for using and automating for AI and BC.

YES! Check out SingularityNET. This is basically a huge network of incentivized AI sharing. Huge implications for advancement and bootstrapping of AI.

Blockchain and machine learning is one of the key technologies of advanced information processing typical of the current fourth technological revolution called Industry 4.0.

The involvement of Blockchain for machine learning is an interesting combination of technologies.

This type of technological connection creates new possibilities in the field of building security of information systems.

Best wishes

Bloclchain is a distributed electronic record that is shared between all members and its content is kept identical between different members and update simultaneously. It has two major advantages 1- provides security and privacy with help of advanced cryptographic tools 2- Provides Distributed Autonomous functionalities with help of smart contract. Blockchain can facilitate distributed and decentralized AI algorithm and increase their trustworthiness, reliability, accuracy, etc. Please see this reference for more information:

"A Blockchain Enabled Cyber-Physical System Architecture for Industry 4.0 Manufacturing Systems”

Blockchain and Machine Learning can definitely work together. For example, Reinforecement Learning, a kind of ML techniques is very useful to blockchain systems in IoT, Edge computing, i.e. ML-based data offloading on blockchain. In return, blockchain can offer security properties for ML-based systems.

Details of blockchain-ML combination can be found in our very recent survey paper. In this review article, we highlight the benefits and advances in the integration of ML and blockchain (in Section: Future direction). Hope that it is useful to everyone. Cheers!

Preprint Integration of Blockchain and Cloud of Things: Architecture,...

Yes. Also, among the most discussed approaches of bringing machine learning and blockchain technology together, is reconfiguring the concept of federated learning (e.g., Google Keyboard) for a blockchain-based architecture.

Article Blockchained On-Device Federated Learning

Please read recently published our future directions paper:

Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges

Available Online @ https://iamssgill.files.wordpress.com/2019/10/transformative_effects_survey.pdf

which gives you insights on evolution of cloud computing from 1958, vision, current Trends and open challenges of Cloud Computing and its paradigms (Fog, AI, Blockchain, IoT, Deep Learning, Security, SDN, Big Data, Energy, 5G/6G, Containers, Quantum Computing, Bitcoin currency, Software Engineering, SLA, QoS, AutoScaling, Applications, Data Science, Serverless and Security). Further, a conceptual model for cloud futurology is proposed.