According to a new market research report "Machine Learning Market by Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities), Deployment Mode, Service, Organization Size, and Region - Global Forecast to 2022", published by MarketsandMarkets™, the market size is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%.
Technological advancement and proliferation in data generation are some of the major driving factors for global machine learning market. Furthermore, increasing demand for intelligent business processes and rise in adoption of modern applications are expected to provide opportunities for the growth of the machine learning market.
Myriads.IO team is creating new hardware and software approach to machine learning. It is project that aims to decentralise artificial intelligence by leveraging blockchain technology. We believe that decentralised machine learning is a new technological revolution.
Tech giants like Amazon, Microsoft, Alphabet sell machine learning GPUs powers with superprofits. We want to decentralize this process and send superprofits to GPUs miners to make useful computations (do not wasting kWs for unuseful calculations).
All machine learning GPU machines controlled by centralised cloud services authorities like Google Cloud, Amazon Machine Learning, Microsoft Azure Machine Learning. Pricing of machine learning servers is overrated and corporations earn superprofits and control all industry.
Computation power of centralised services is much lower than possible GPUs power of decentralised Myriads.IO network with "myriads" of computers with GPUs.
Security of centralised platforms depends on governments centralised IT security and could be controlled by central authority. It could be hacked or your data could be stolen by employees or hackers.
Myriads.IO is the decentralized protocol producing a distributed machine learning architecture using blockchain technology. Our system allows idle GPUs computing power to analyse big data and predict the future, while rewarding miners for the accuracy of their predictions.
End-Users (individuals and companies) require huge GPU computation power for machine learning algorithms. They pay with MRDS tokens for learning network power.
Large models in machine learning can dramatically improve overall performance. With the advent of deep learning, the field is rapidly expanding. However, large neural network models face infrastructure limitations. These limitations can be overcome in several ways. One approach is to develop more powerful graphical processing units (GPUs) that can handle the computational load. Another approach is to distribute the load to clients speaking to a central server for batch training updates. Thus it is possible to crowdsource the computational power necessary to train models and incentivize participation via a Myriads.IO token-based network.
End-User send data and machine learning algorithm to Myriads network. Myriads network generate multiple tasks for all miners over the network, blockchain algorithm split all data into chunks. A chunk is a portion of an encrypted data to be stored on Myriads.IO network.
Chunking has a number of advantages to security, performance, privacy and availability. Files should be encrypted client-side before being chunked. This protects the data from revealing unauthorized extraction of information. The data owner retains complete control over the encryption key, and thus over access to the data.
|Price||1 ETH = 25,000 MRDS|
|Hard cap||108,000,000 MRDS|