The scale of creating index technology using artificial intelligence (AI) and machine learning (ML) last year was huge. Venture capital for artificial intelligence doubled in 2017 to reach $12 billion. The blockchain has been laying the foundation for a new decentralized Internet. Last year, the total amount of money raised through the first currency issue (ICO) was slightly more than $5 billion.
Because I am deeply involved in the field of artificial intelligence and blockchain, I have a lot of dialogue on the meaning of these buzzwords. Let me make it clear. Putting "artificial intelligence" and "blockchain" together does not make any sense. Whether artificial intelligence requires a blockchain or a blockchain is not a good discussion. In five to ten years, the world will turn to decentralized infrastructure. Artificial intelligence and machine learning will be the foundation for creating deep technology companies in this new world.
We even created a lot of infrastructure and protocol layers before the world was formed. In 2018, it is a big deal to increase the amount of training data, improve the latest research algorithms, and provide projects that provide a lot of computing resources.
data
Having enough data to train an artificial intelligence/machine learning model is an endless challenge for everyone. Traditionally, only companies with large numbers of users have access to large data sets. To give more data sets to the artificial intelligence community, the decentralization approach is a good fit.
The Ocean Protocol is building a decentralized data exchange system to accommodate global data from artificial intelligence training. If this works, they will become the goto protocol for data providers and consumers. Depending on the industry you are in and the specifics of the data you need to train, we may see projects that are specific to the target use case. For example, DX Network provides structured data about companies, investors, and industry news.
Summarizing data in the real world is a real problem. Companies like Google are not obligated to share their self-driving data. This means that Internet of Things (IoT) devices will play a huge role – collecting data for artificial intelligence training in the real world. Privacy and security will become very important, and IoTeX has a great opportunity to create a blockchain that runs on IoT devices for this purpose. I wouldn't be surprised if the artificial intelligence community uses the platform to collect data at will.
algorithm
Although data is the key to artificial intelligence/machine learning model training, we need to develop algorithms that process this data in a decentralized and distributed manner. It is no small matter to come up with research papers and make them work in the blockchain. SingularityNET encapsulates each artificial intelligence algorithm and allows them to communicate with each other. Deep Brain Chain also encapsulates artificial intelligence algorithms to run on idle GPUs.
Encapsulating artificial intelligence/machine learning algorithms is an amazing feat, but it's just the beginning. We want these algorithms to work in an intelligent way. Cortex is a self-built infrastructure-related blockchain project that allows users to write machine learning programs. Users submit their own artificial intelligence smart contracts, and each contract can interact.
Cortex has its own virtual machine called the Cortex virtual machine. As with Ethereum, this provides a trusted, secure environment for the execution of artificial intelligence smart contracts. Cortex also provides the ability to run off-chain algorithms. The team is at a key intersection between the computing power provider (which we'll cover below) and the algorithm provider. Therefore, this makes the cooperation between the entire artificial intelligence community easy.
Computing resource
There are many excellent teams dedicated to acquiring training data and the latest research algorithms to run blockchains. The final mystery is how we use the world's idle computing power to run computationally intensive artificial intelligence/machine learning training.
Cortex is trying to be the bridge, so we might see them working with projects like Golem, which created the first global market for computing power. As the founder of the training agreement, I also saw the close cooperation between us. We have developed a way to distribute deep learning calculations to any device in the world. Not just the GPU. Cortex's bridges may be a key component in bringing together all the artificial intelligence communities.
Artificial intelligence has quickly become a rapidly developing technology that the world cannot ignore. People in the field of cryptography cannot ignore this. If the artificial intelligence ecosystem works on the blockchain, it can capture the power that only companies like Facebook, Amazon or Google have, and hand it over to the community. This is the true decentralization. Everything will be inspiring.
Sherman Lee is Zerot. AI's partner and founder of the Raven agreement, he focused on funding artificial intelligence and blockchain companies, after he founded Rocco. AI and Good Audience.
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