The new-age has had an industrial revolution to be steered by various automation. Factory and fossil fuels were the ones that drove the industrial revolutions in the past; currently, the automation revolution primarily based on data-driven artificial intelligence (AI). It is indeed essential to know how the influence is spread and how supporting the AI-driven automation revolution can be made possible.

The increasing need for computing power is what is majorly needed to support this automation revolution. There have been signs given that indicate that raw computing power will most definitely be the replacement to fossil fuels and will also be one of the most valuable ammunition in the fast-growing intelligence age. 

Computing power is of great importance to AI, but that doesn’t mean data isn’t. It is primarily because the AI input is the data through which complex algorithms give connections, patterns, and useful insight that help in finding the valuable output for individuals and entities across nations: its government, industries, organizations, etc.

So why are we talking about Blockchain when we mention AI? Blockchain is not just providing computing power but also holding the promise of adding structure and accountability to AI algorithms and may help in much-needed areas like security, quality, and integrity of the intelligence AI produces. 

Blockchain

Blockchain is what will make the ‘decentralized future dream’ a reality. Even the way it is being used and applied has enormous energy and environmental impacts. The security of blockchain technology is the result of its encryption, and the consensus mechanism of Blockchain necessitates that all users are required to have permission to write on the chain. All of these requirements individually and collectively bring in the intricate use of algorithms and enormous amounts of computing power. 

The approach that we are going for currently to centralized processing infrastructure (e.g., data centers) is not enough to when we take the growth, rendering, and predictive analytics needs of artificial intelligence into consideration and all this in a cost-effective and energy-efficient way. Hardware evolution has increasing become a necessity.

We have all been witnesses to the advances in computing and software. But the issue here is the focus has always been on software developments and not on hardware. Neuromorphic computing and chips are here to transform computer hardware, which will bring us closer to better machine intelligence for severe complications that the future might hold. This is also the driving force that would eventually lead us to a scalable and sustainable model for the future of Blockchain and decentralized systems. 

Al demand is steadfastly rising, and so are their costs. As of now, the replacement is centralized processing farms; the future will have the democratization of neuromorphic computing chips. This is a constant effort towards reducing costs. It is also the disruptive effort made towards witnessing a change in the fundamentals of machine learning and distributed systems.

As one might wonder, where does this new potential of Blockchain and AI come from, it is from neuromorphic computing chips. This approach will help in organized and efficient collecting and distributing computing power for the needs of artificial intelligence. It also will be allowing scalability and sustainability of Blockchain itself.

Neuromorphic computing and chips (hardware) are the primary factors to the scalability, security, and sustainability of Blockchain.

WHAT LIES AHEAD

Decentralized intelligence will have a massive impact on everyone. The questions that the future had been resolved in the present and there is possibly nothing that comes close to shifting this growth that would be brought by the potential of neuromorphic computing chips, which would help in enhancing the scalability, sustainability, and security of Blockchain and AI. The future is right in front of us, and it is our duty to shape it well.