RAVEN PROTOCOL AND THE FUTURE OF ARTIFICIAL INTELLIGENCE
The past three decades has been one for tremendous growth in technology, as we move from accessing the web to discussing topics such as big data, artificial Intelligence and the rave of the moment-Blockchain.
The subject of artificial intelligence speaks volume of the level of innovation we have witnessed in the last decade and big data, in particular, has been a source of wealth for companies such as Amazon, Facebook, and Google etc. Blockchain has brought with it, a faster, more secure way of doing transactions and I must say, it is a beautiful time to be alive!
We are at a point where the two most powerful technologies (Artificial Intelligence and Blockchain) of our time are in vogue and new platforms are emerging with hopes to combine the advantages of the two to improve the services of their network but right now, no one has been able to do it better than RAVEN PROTOCOL.
Raven Protocol is a blockchain based platform which focuses on deep learning protocols and helps in the training of deep neural networks in a faster and cost efficient way by using the compute resources supplied by users in the network.
NB: Deep Learning is an Artificial intelligence function that imitates the working of the human brain in processing data used in decision making. Deep neural training involves a huge amount of data and computational power and it is a very costly venture compared to other parts of machine learning.
How does it work?
Much like decentralized cloud platforms, there is a “Contributor” and a “Requester”. A ‘contributor’ provides his/her system (CPU, GPU) or smartphone as compute nodes for training models. He is given the option to configure a percentage of this compute resource on his user dashboard and he is incentivized accordingly. A ‘requester’ requests for Raven protocol to train a customized deep learning model. Each request is processed sequentially and goes through Deep learning algorithm selector. The best algorithm suited for the request is selected and passed down to the distribution server where calculations are done and the training is carried out.
Who can use Raven Protocol?
Raven Protocol is built for all Artificial Intelligence Enthusiasts- Companies and Individuals who already use AI-based models and those who are interested in upgrading their technology to be AI based.
So, what is the importance of Raven Protocol on the future of AI?
Raven Protocol is a first of its kind platform with the primary aim of accelerating the development and adoption of AI technologies. It hopes to be the central hub for AI-based models training, maintenance and development. The adoption of Raven protocol will enable the general expansion and adoption of AI-based models. Here are some reasons why Raven Protocol stands as the future of Artificial Intelligence to the modern world:
Faster training and Cost Efficiency: One factor hampering the development and adoption of AI-based network models is cost. Raven protocol will help start up AI-based companies to train and deploy their AI models faster. The protocol will also help reduce the cost of building and maintaining customized deep learning programs. Also, the adoption of Raven protocol will move up training speed required to train deep neural networks thereby saving companies money and most importantly, time.
Marketplace and Integration: A united front by AI-based communities will go a long way in fastening the process of global adoption of AI. Fostering unity amongst AI based communities is one of the goals of the Raven Protocol and this is done via the marketplace. Raven Protocol will be offering a marketplace where different AI services can communicate with each other. The marketplace will be open to developers who want to offer a trained deep learning model to the network and companies or individuals who want to use a trained deep learning model on the network. The marketplace will encourage the growth of new applications as developers can build customized AI models and sell them on the marketplace. Also, Raven Protocol will be adding a layer that will make it easy for integration and interoperability with other AI projects.
New Parallelization Method: Raven Protocol has improved on the conventional way of training deep neural networks. This new improved method involves splitting a single deep learning architecture to micro levels and training them across nodes within the Raven network. The new data parallelization method will not only speed up the training process but will also allow developers time to focus on discovering new algorithms. With this method, Raven Protocol has built the first truly distributed training algorithm in the world, a huge development and accomplishment towards a brighter AI future.
Openness: Being a blockchain based platform gives Raven protocol the advantage of openness. Every transaction recorded on the network can be seen by everyone and it is immutable. This brings with it, the luxury of transparency that is not available to most AI services. A network whose services are open for everyone builds trust and encourages participation from individuals and companies alike.
Incentivization and Promotions: Raven Protocol is always promoting AI through incentivization and promotions. Network users in the form of Contributors are incentivized to contribute their computer resources to the network and educated on the importance of AI through their personal dashboards on the network. Also, website owners and enthusiasts who are willing to broadcast and publicize information regarding AI on their websites are incentivized duly and in some cases, made partner of the network.
Conclusively, the subject of training deep neural network is considered the most complicated and time consuming aspect of AI. However, Raven Protocol has been able to simplify this process, enabling companies to benefit massively from this process at a much lower cost. This is not just a win for AI development, but a giant step towards its future.
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