GitHub - Sp4c3-blockchain/AIpower-Proving-Program
Contribute to Sp4c3-blockchain/AIpower-Proving-Program development by creating an account on GitHub.

Today, the internal beta network of SP4C3 will be released.

Users can:
1. Connect your device to SP4C3 AI network.
SP4C3´s Github: https://github.com/Sp4c3-blockchain/AIpower-Proving-Program, to connect your device (CPU, GUP, AI hardware).
2. Receive AI computing task.
sp4c3.live, pledge TOKEN (ETH of the Ropsten network) to receive AI calculation tasks, and get rewards after completing calculation tasks.

Due to the large amount of AI computing work and reward models that need to be further calculated according to the actual network data, the current running network is the Ropsten network. After finishing the basic data sorting, it will be switched to the Ethereum Main network, and the pledge TOKEN will be changed to SP4, and statistics from the distribution of AI computing tasks and reward TOKEN will be proceed at the same time.

Today we will be going through the main benefits of using Machine Learning and Blockchain Technologies for information management and storage. Instead of relying on the current legacy infrastructures, one can use Sp4c3 to level up their services and efficiency.

What are the benefits of using Machine Learning for your business data management?



Data Extraction
Data Science algorithms can recognize the basis of specific patterns in data and filter out useless information and synthesize new data from provided inputs. From the accumulated dataset one can discover new data types that would be more beneficial for business it helps to save time and effort making the whole system more efficient in solving problems

Document Clustering
Machine learning can analyze documents to group them by topics. This can be used to rank data value and understand the nature of data and how it is related to some other data.

Automatic Classification and Processing
With the help of computer vision and patterns recognition, artificial intelligence can read handwritten documents, recognize faces, sounds, or other visual/audio information. Make decisions based on previous datasets and later evolve and become better at doing specified tasks.

Improved Data Quality
AI can help businesses to minimize data redundancy, prevent user input errors, and place/tag files correctly according to data. It can also help to make efficient decisions and process business by offering useful insights.

Data Analytics
Using Data Science algorithms one can better visualize data, perform predictive analysis and look for improvements to the current system.

Document Security
Along with document management, it is also imperative to secure documents and data, especially confidential ones. AI-powered systems offer high-level document security by detecting the sensitive as well as personally identifiable information in documents. The technology then marks such documents so that a user can handle them carefully.

Structuring the Unstructured Data
With the advancement of technology, we can now generate data from multiple sources; however, this data needs to be processed and structured to fetch useful information out of it. It is estimated that out of all the data collected by an organization, approx. 80% of it is unstructured. An AI-enabled document management system can help businesses to make the most out of this data by automatically analyzing files, fetch technical data, and connect files with relevant information.
In fact, most companies are leveraging AI and ML to look into emails, messages, and other ways of communication to know semantics, words, sentiments, and more to predict information related to products and services.

Content Support and Management
AI and ML help in supporting content as well as document management. It can also simplify document development workflow. Grammarly, a popular grammar check and proofreading software, is sheer proof of how AI can be implemented to edit documents without the need of a human being.


With the rapid adaption of artificial intelligence and machine learning by various businesses, it has become easier to categorize and manage documents. With AI document analysis, data extraction, machine learning in content management, and other advantages given in this article, our clients will be managing documents effectively and efficiently. Moreover, they can store, process, and extract data in seconds. If you too want to lift your business processes by integrating AI and ML, then check out Sp4c3!

What are the benefits of using Blockchain Technology for your business data management and storage?
​​

Keeping records on blockchain helps to:
Make multiple copies of data
Perform computations and data changes on-chain while reaching consensus with all parties faster
Track changes of ownership and content
Verify authenticity without providing document’s content
Provide document’s content without providing identity

In general Sp4c3’s blockchain can help you to reach consensus between different parties faster and more reliable while providing data integrity and track the history of changes.

SP4C3, which has recently gained a lot of attention in the European Fin-tech industry, is dedicated to advancing financial and non-financial applications of the Ethereum Network.

Eimantas Tomkevicius, who was born in Lithuania, previously worked in the IT and information consulting services business, providing corresponding consulting and advisory services in the Swiss-Sino Chamber as a Board Advisor. In 2014, he founded a 3D printing smart hardware company in St.Petersburg, and gradually entered the technology and finance industry. Was a co-founder of a Solar energy provider project whereas supplied renewable energy to the biggest Lithuanian energy supplier. Moreover, for the first time, he combined blockchain technology with the 3D printing industry. He joined the Ethereum Network ecosystem back in 2017 and has since committed to the implementation of this technology in real life.

With the rising needs for Internet cloud storage and blockchain distributed storage, Mr. Tomkevicius, with his keen business sense and industry experience, believes that the combination of AI cloud computing and distributed storage and the use of blockchain technology will break the monopoly of traditional Internet giants. This will also be a huge industry opportunity for Ethereum Network to combine financial and non-financial applications and help the blockchain technology to land.

As blockchain technology is gradually being applied around the world, both Vitalik Buterin, the founder of Ethereum Network, and Eimantas Tomkevicius believe that the blockchain industry is not only about making tokens that facilitate transactions between tokens, It’s a technology that can actually help technology and society move forward.

SP4C3, built with the infrastructure of AI cloud computing and distributed storage network, is not just a single blockchain project, but a technological bridge linking different ecosystems.

Elon Musk, CEO of Tesla, announced the release of the super neural network supported by AI technology achievements such as pure visual autonomous driving system, Dojo supercomputer system, and self-developed D1 chip on August 19, these systems are also built with AI reasoning of vision and image as the core.

In the future, both Tesla’s onboard AI chip and other intelligent terminals need to be supported by the computing power network composed of powerful AI computing power centers in different regions. Of course, at present, this is a closed Tesla ecosystem, which cannot help other ecosystems.

But SP4C3’s system is an open source system, SP4C3’s network will not only learn and use other open source code from the different tech industries to help build high compatibility but also will open source most of technology to be able to coordinate different ecological science and technology in development, not only will it accelerate the implementation and development of the technology, SP4C3 network will also gradually grow into a huge service network like Amazon Web Services or Google Cloud AI Platform.

In the near future, we will see the rise of SP4C3 Network in Europe, and its founder Mr. Eimantas Tomkevicius may become the Elon Musk of Europe, or even surpass him, bringing about a whole new tech revolution.

AI has become the key word in the future of technology. Computing power has been described as the "engine" that underpins the development of AI, with the most advanced AI models doubling in computational volume every three to four months, according to AI research organisation OpenAI.
How do we meet AI's ever-expanding computing needs? What is the trend of AI computing power development?
At present, the world's largest AI and Cloud service provider Amazon Web Services (AWS), Google Cloud AI Platform and other giants are involved. Countries in North America, Europe and Asia also take AI and related applications as national strategies and new infrastructure.

Why Artificial Intelligence is the Future

Amazon Web Services (AWS) and Google Cloud AI Platform are both used in production environments, ranging from Cloud storage of data to machine learning projects that help customers with AI computing power.

With the continuous upgrade of Internet of Things, WEB3.0 and network bandwidth, the market will continue to increase. Each Internet giant also gradually improves the overall architecture of AI cloud computing on the basis of the past cloud storage technology.

Artificial intelligence has brought innovation vitality to all walks of life. As a technology output window, cloud computing has promoted the digitalization and intelligent transformation of the whole society. Among them, Microsoft, Amazon, Google and other technology giants are not only the global intelligent promoters, but also the beneficiaries of industrial intelligence dividend. Under the trend of global digitalization, the cloud service scale of the three cloud giants is expanding day by day, which makes the capital market climb higher and higher, the market value continuously hits a new record high, and gradually forms the industry monopoly.

With the acceleration of digital and intelligent transformation in all industries, enterprises' spending on cloud infrastructure services will continue to grow strongly. With the support of AI cloud computing and cloud storage, amazon and Google are also expected to enter the $2 trillion club in the future after Microsoft's market value broke through the $2 trillion mark. As of now, Amazon is valued at $1.83 trillion, while Google is valued at $1.81 trillion.

At present, the global blockchain industry is also entering rapidly. In the past period of time, the blockchain project IPFS has rapidly completed the layout of cloud storage services and reached a market value of $7.42 billion.

SP4C3 Network, recently promoted in Europe by Ethereum Network members and related partners, combines storage with AI cloud computing to provide data storage, analytics, and computing support for financial and non-financial applications.

What is attractive SP4C3 Network

According to the project introduction and related document description we have seen so far, SP4C3 Network has a perfect architecture and application scenarios that can be quickly implemented.

As a breakthrough point in AI cloud computing power, SP4C3 Network can quickly enter the market. We know that the Google AI Platform is currently suitable for product deployment or intensive training. Since it is a paid service, many enterprise users and researchers try to avoid unnecessary use. In the early stage of model design, mistakes are often made, and the use of payment at this time will cause a relatively large waste, leading to the early model design to be completed locally, and greatly reducing efficiency. It is believed that in the future, blockchain service providers like SP4C3 Network will greatly reduce the use cost of the computing power pool, helping more products to quickly complete AI training and complete deployment.

At present, the data cloud storage cost of IPFS is extremely low. According to inter-networking information, SP4C3 Network will access more AI computing power providers and form corresponding AI computing power pools, so the corresponding computing power and storage rental cost will be far lower than that of traditional Internet giants. SP4C3 Network can be divided into financial level private cloud and public cloud supporting public services, which can not only ensure data security, but also provide diversified support for non-financial applications. No matter, enterprises or scientific research institutions will have more choices in different service types and service providers, and gradually break the monopoly of cloud storage and AI cloud computing.

Ethereum Network is built as a decentralized CPU architecture, and we believe that blockchain projects like SP4C3 Network can better fill the gap of Ethereum Network in AI computing power, storage, and related applications.

As the enterprise IT architecture continues to shift to cloud architecture, the speed of AIization and digitalization with cloud as the core is accelerating, bringing dynamic development of the global AI cloud service market. Enterprise spending on cloud infrastructure services rose 35% to $130 billion in 2020, according to Synergy Research, which released reports early. The report also notes that PaaS, particularly databases, the Internet of Things, and analytics, are the major areas with the highest growth rates in the $130 billion market for cloud infrastructure services over the past decade. It can be said that the core of cloud service vendors' competition in the cloud service market lies in abundant cloud applications and reasonable prices.

Blockchain projects such as SP4C3 Network continue to operate according to their plans and believe that the valuation will quickly exceed $1 billion in the initial phase of the project and grow rapidly as the project and the industry grows.
Global AI in full swing, from all walks of life through the deployment of sensors, the Internet of things, have the ability to get more data, in the edge of the intelligence, the cloud using AI technology to multiple data intelligent analysis combined with different algorithm, enables rapid innovation and transformation, promote cloud services will become more and more mainstream in the future, as the infrastructure is everywhere. And AI cloud service vendors are the forces behind the implementation of AI cloud computing power. We will also see the emergence and rise of more emerging AI cloud service providers like SP4C3 Network.

SP4C3, which has recently gained a lot of attention in the European Fin-tech industry, is dedicated to advancing financial and non-financial applications of the Ethereum Network.

SP4C3’s creator Eimantas Tomkevicius said in a recent interview that SP4C3 will officially accept donations of digital assets in the Ethereum ecosystem and will provide SP4 incentives to donors.

All donated funds will be used to help COVID-19 prevention and control in some poor regions of Europe, jointly establish an AI data analysis system and provide corresponding algorithm deployment with Child Alert, and also provide hardware equipment such as video, image and motion sensing temperature sensors to serve local public affairs.

Eimantas Tomkevicius, who was born in Lithuania, previously worked in the IT and information consulting services business, providing corresponding consulting and advisory services in the Swiss-Sino Chamber as a Board Advisor. In 2014, he founded a 3D printing smart hardware company in Dubai, and gradually entered the technology and finance industry. For the first time, he combined blockchain technology with the 3D printing industry. He joined Ethereum Network ecology back in 2017, and has since committed to the implementation of this technology in real life.

With the rising needs for Internet cloud storage and blockchain distributed storage, Mr. Tomkevicius, with his keen business sense and industry experience, believes that the combination of AI cloud computing and distributed storage and the use of blockchain technology will break the monopoly of traditional Internet giants. This will also be a huge industry opportunity for Ethereum Network to combine financial and non-financial applications and help the blockchain technology to land.
As blockchain technology is gradually being applied around the world, both Vitalik Buterin, the founder of Ethereum Network, and Eimantas Tomkevicius believe that the blockchain industry is not only about making tokens that facilitate transactions between tokens, It’s technology that can actually help technology and society move forward.
SP4C3, built with the infrastructure of AI cloud computing and distributed storage network, is not just a single blockchain project, but a technological bridge linking different ecosystems.

Elon Musk, CEO of Tesla, announced the release of the super neural network supported by AI technology achievements such as pure visual autonomous driving system, Dojo supercomputer system and self-developed D1 chip on August 19, these systems are also built with AI reasoning of vision and image as the core.

In the future, both Tesla’s on-board AI chip and other intelligent terminals need to be supported by the computing power network composed of powerful AI computing power centers in different regions. Of course, at present, this is a closed Tesla ecosystem, which cannot help other ecosystems.

But SP4C3’s system is an open source system, SP4C3’s network will not only learn and use other open source code from different tech industry to help build high compatibility, but also will open source most of technology to be able to coordinate different ecological science and technology in development, not only will it accelerate the implementation and development of the technology, SP4C3 network will also gradually grow into a huge service network like Amazon Web Services or Google Cloud AI Platform.

In the near future, we will see the rise of SP4C3 Network in Europe, and its founder Mr Eimantas Tomkevicius may become the Elon Musk of Europe, or even surpass him, bringing about a whole new tech revolution.

The hardware support of SP4C3 is more focused on AI calculation. Combined with the system architecture, we give the minimum parameters of hardware equipment that can be used to test the network in the early stage.

In the internal testing phase, we will test data with different AI servers and publish corresponding data. To provide hardware equipment suggestions for computing power providers joining SP4C3 network in the future, and better help SP4C3 can be put into application.

AI Server
*Minimum Requirement:

Computing Power          10.0 TFLOPs MAX FP32 Compute
CPU Core                           8 Cores @2.0GHz
Disk Storage                   16 TB
Support Framework           Paddlepaddle, Tensorflow, Pytorch, Caffe.
Network Bandwidth           50Mbps Upstream&Downstream
Hardware Video Encoding   50 FPS@1080p H.265
Hardware Video Decoding   500 FPS@1080p H.265
Graphics Memory           12GB

SP4C3 also welcomes more hardware manufacturers to provide us with different AI servers and related hardware to build SP4C3 network together.

AI has become the key word in the future of technology. Computing power has been described as the "engine" that underpins the development of AI, with the most advanced AI models doubling in computational volume every three to four months, according to AI research organisation OpenAI.
How do we meet AI's ever-expanding computing needs? What is the trend of AI computing power development?

At present, the world's largest AI and Cloud service provider Amazon Web Services (AWS), Google Cloud AI Platform and other giants are involved. Countries in North America, Europe and Asia also take AI and related applications as national strategies and new infrastructure.
Amazon Web Services (AWS) and Google Cloud AI Platform are both used in production environments, ranging from Cloud storage of data to machine learning projects that help customers with AI computing power.

With the continuous upgrade of Internet of Things, WEB3.0 and network bandwidth, the market will continue to increase. Each Internet giant also gradually improves the overall architecture of AI cloud computing on the basis of the past cloud storage technology.

Artificial intelligence has brought innovation vitality to all walks of life. As a technology output window, cloud computing has promoted the digitalization and intelligent transformation of the whole society. Among them, Microsoft, Amazon, Google and other technology giants are not only the global intelligent promoters, but also the beneficiaries of industrial intelligent dividend. Under the trend of global digitalization, the cloud service scale of the three cloud giants is expanding day by day, which makes the capital market climb higher and higher, the market value continuously hits a new record high, and gradually forms the industry monopoly.
With the acceleration of digital and intelligent transformation in all industries, enterprises' spending on cloud infrastructure services will continue to grow strongly. With the support of AI cloud computing and cloud storage, amazon and Google are also expected to enter the $2 trillion club in the future after Microsoft's market value broke through the $2 trillion mark. As of now, Amazon is valued at $1.83 trillion, while Google is valued at $1.81 trillion.
At present, the global blockchain industry is also entering rapidly. In the past period of time, the blockchain project IPFS has rapidly completed the layout of cloud storage services and reached a market value of $7.42 billion.

SP4C3 Network, recently promoted in Europe by Ethereum Network members and related partners, combines storage with AI cloud computing to provide data storage, analytics, and computing support for financial and non-financial applications.

According to the project introduction and related document description we have seen so far, SP4C3 Network has a perfect architecture and application scenarios that can be quickly implemented.

As a breakthrough point in AI cloud computing power, SP4C3 Network can quickly enter the market. We know that the Google AI Platform is currently suitable for product deployment or intensive training. Since it is a paid service, many enterprise users and researchers try to avoid unnecessary use. In the early stage of model design, mistakes are often made, and the use of payment at this time will cause a relatively large waste, leading to the early model design to be completed locally, and greatly reducing efficiency. It is believed that in the future, blockchain service providers like SP4C3 Network will greatly reduce the use cost of computing power pool, helping more products to quickly complete AI training and complete deployment.

At present, the data cloud storage cost of IPFS is extremely low. According to inter-networking information, SP4C3 Network will access more AI computing power providers and form corresponding AI computing power pool, so the corresponding computing power and storage rental cost will be far lower than that of traditional Internet giants. SP4C3 Network can be divided into financial level private cloud and public cloud supporting public services, which can not only ensure data security, but also provide diversified support for non-financial applications. No matter enterprises or scientific research institutions will have more choices in different service types and service providers, and gradually break the monopoly of cloud storage and AI cloud computing.

Ethereum Network is built as a decentralized CPU architecture, and we believe that blockchain projects like SP4C3 Network can better fill the gap of Ethereum Network in AI computing power, storage, and related applications.

As the enterprise IT architecture continues to shift to the cloud architecture, the speed of AIization and digitalization with cloud as the core is accelerating, bringing dynamic development of the global AI cloud service market. Enterprise spending on cloud infrastructure services rose 35% to $130 billion in 2020, according to Synergy Research, which released reports early. The report also notes that PaaS, particularly databases, the Internet of Things, and analytics, are the major areas with the highest growth rates in the $130 billion market for cloud infrastructure services over the past decade. It can be said that the core of cloud service vendors' competition in the cloud service market lies in abundant cloud applications and reasonable prices.

Blockchain projects such as SP4C3 Network continue to operate according to their plans and believe that the valuation will quickly exceed $1 billion in the initial phase of the project and grow rapidly as the project and the industry grows.

Global AI in full swing, from all walks of life through the deployment of sensors, the Internet of things, have the ability to get more data, in the edge of the intelligence, the cloud using AI technology to multiple data intelligent analysis combined with different algorithm, enables rapid innovation and transformation, promote cloud services will become more and more mainstream in the future, as the infrastructure is everywhere. And AI cloud service vendors are the forces behind the implementation of AI cloud computing power. We will also see the emergence and rise of more emerging AI cloud service providers like SP4C3 Network.