Machine Learning and Artificial Intelligence (AI) grew exponentially over the last year. A massive year for these relatively new technologies. The venture capital funding doubled to $12 billion in the previous year for AI. At the same time, the blockchain has been laying the foundation for a new decentralised internet. Last year, the total amount of capital that blockchain startups raised was a little over $5.6 billion.

Throwing “AI” and “blockchain” together boils down to basically nothing. There should be no discussion on whether AI needs blockchain or does not need blockchain. A decentralised infrastructure is what we are all moving towards in the next five to ten years. However, in order to make this world a reality, a ton of protocol layers and fundamental infrastructure needs to be built.

Algorithms

Understanding research papers and implementing them to run on blockchains isn’t a trivial task. Data is the key in training AI/ML models; one needs to develop algorithms that run in a decentralised and distributed manner. Certain companies, like Singularity NET, allow AI systems to communicate with each other, allowing administrators to monetise and create data content.

Cortex Virtual Machine is Cortex’s in-house virtual machine. Similar to Ethereum, it provides a secure, trusted, and safe environment for Artificial Intelligence-based smart contracts to be executed. Running of algorithms off-chain is an ability that’s been provided by Cortex. In order to make collaboration between the AI community easy, the company connects computing power providers and algorithm providers. Thus, making collaboration between the entire AI community easy.

Computing Resources

A number of teams worldwide are working towards getting training data and research algorithms possible to operate on the blockchain. Levering the world’s unused computing power to run AI and Machine Learning systems is the final piece in this puzzle.

Companies like Golem, the world’s first decentralised computing power marketplace, seem like a good option to partner with for Cortex, which aims to bridge the gap between AI projects and computational power.

Looking to the Future

Technologies such as AI and the blockchain are synergistic, and IBM believes that we are at an ‘inflection point’ for businesses. The company believes we will see ‘

exponential innovation’ from these areas, suggesting that there will be no shortage of projects that seek to combine AI and the blockchain in innovative ways.

AI adviser Francesco Corea reckons that AI could even end up addressing the talent shortage in the blockchain world, by creating ledgers themselves, although he does admit it is a “leap of faith.”

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