DAIN
DAIN
continuous development and improvement from the base Settings
Not long ago, the world of high technology turned our lives upside down. People become less employed in certain places, and enjoy all the humanitarian benefits that are available in the most ordinary daily life. And all because of the crazy idea of visiting the bright minds of more than one person with the help of which we have lots of technology. And who knows what awaits us tomorrow, if for the past 50 years, our society has largely moved forward.
What is DAIN?
DAIN is the next generation artificial intelligence platform, a geographically distributed decentralized public computing network driven by the integration of the blockchain and artificial intelligence technology to solve and solve problems. This platform uses computing resources efficiently and without intermediaries from other devices located anywhere in the world to solve complex AI problems. DAIN awards hardware owners and maps the artificial intelligence market. This allows companies with similar needs to provide or find joint solutions.
DAIN is the next generation artificial intelligence platform, a geographically distributed decentralized public computing network driven by the integration of the blockchain and artificial intelligence technology to solve and solve problems. This platform uses computing resources efficiently and without intermediaries from other devices located anywhere in the world to solve complex AI problems. DAIN awards hardware owners and maps the artificial intelligence market. This allows companies with similar needs to provide or find joint solutions.
DAIN aims to make artificial intelligence easy and affordable, accessible to all consumers, from small businesses to large companies, from knowledge to big data, reducing time to market in production models, and obtaining information and knowledge. Produce. This platform allows users to lease idle computing power from devices and computers to help companies in data processing, problem solving, and problem solving using artificial intelligence technology. It also allows companies to develop new business models, new customer relationship models, and new revenue streams, providing a secure environment where they can safely sell, build, sell, and execute knowledge, solutions, data and infrastructure to create, consume, and implementing artificial intelligence. To share. Using corporate DAIN platforms of various sizes, it can easily and efficiently train new models with its own data and / or data from external sources provided to DAIN and can model it with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. he can easily and efficiently train new models with his own data and / or data from external sources provided to DAIN and can model them with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. he can easily and efficiently train new models with his own data and / or data from external sources provided to DAIN and can model them with third party data. Change the existing data market. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties. Companies can publish models in the model market and earn money while maintaining ownership, control, and model knowledge. Or, instead, it can benefit from its own data, which allows others to practice their model or run it with enriched data, all of which maintain data security without sharing it with third parties.
Why is DAIN necessary?
- Barriers to AI
Apart from its extraordinary influence on society and great interest, AI and its needs are difficult to understand. Organizations and experts are not regulated for large scale abuse. These conditions specifically affect the most conventional organizations, who are careless in the midst of troublesome changes. To ensure a reasonable, simple and agile AI integration in the eyes of the public, benefiting both organizations and their clients, explicit instruments are needed that address the limitations of this section.
- Lock-in and nonpartisan vendor
Behavior of discovery makes it very difficult to review AI. Models can present trends through information, shifting settings from ideal outcomes. Or on the other hand tendencies can be presented by model makers when models are made to imitate depictions of reality that do not coordinate their ideological superiority. The unaudited AI administration of a distributed computing specialist cooperative adds to this problem. It is important to offer organizations the opportunity to choose the most non-partisan and fair-minded arrangements and avoid locked sellers.
- Continuity
Late investigations warn of the impression of gigantic carbon and high power utilization due to current ways to deal with Cloud, AI and DLT. Existing information handling bases devoured 3% of the vitality given by people, and the exploitation of the bitcoin mining power that now surpasses Switzerland. It is not important to produce equipment that is progressively committed to meeting the specific needs of both advancements. To guarantee management, we must increasingly use the assets we have now in increasingly sophisticated ways.
- Barriers to AI
Apart from its extraordinary influence on society and great interest, AI and its needs are difficult to understand. Organizations and experts are not regulated for large scale abuse. These conditions specifically affect the most conventional organizations, who are careless in the midst of troublesome changes. To ensure a reasonable, simple and agile AI integration in the eyes of the public, benefiting both organizations and their clients, explicit instruments are needed that address the limitations of this section.
- Lock-in and nonpartisan vendor
Behavior of discovery makes it very difficult to review AI. Models can present trends through information, shifting settings from ideal outcomes. Or on the other hand tendencies can be presented by model makers when models are made to imitate depictions of reality that do not coordinate their ideological superiority. The unaudited AI administration of a distributed computing specialist cooperative adds to this problem. It is important to offer organizations the opportunity to choose the most non-partisan and fair-minded arrangements and avoid locked sellers.
- Continuity
Late investigations warn of the impression of gigantic carbon and high power utilization due to current ways to deal with Cloud, AI and DLT. Existing information handling bases devoured 3% of the vitality given by people, and the exploitation of the bitcoin mining power that now surpasses Switzerland. It is not important to produce equipment that is progressively committed to meeting the specific needs of both advancements. To guarantee management, we must increasingly use the assets we have now in increasingly sophisticated ways.
The benefits of
DAIN regulation gather exercises learned over the previous decade and bringing together front-line innovations to offer answers to existing problems.
- Reducing IaaS costs
By utilizing economical processing power, it removes the underlying equipment effort from the IaaS cost conditions. Because this is a distributed system, there is no need to take care of the cooling costs.
- Speed up time-to-showcase
DAIN has a commercial center for AI models created by biological system clients, enabling organizations to share settings and complement existing capabilities. Through the exchange of information and information, ideal opportunities for new improvements will decrease exponentially.
- There are no exchange fees
DAIN is brilliant. DAIN can adjust to blockages and benefit from the movement of its hubs to understand their inspiration, keep legitimate clients from wasting their processing assets or paying exchange fees.
- IoT and 5G are prepared
The absence of fees and the registration model circulating from DAIN allows gadgets with low limits to become part of the system. This innovation will use the availability of 5G and the diversity of gadgets related to the web.
- Zero code setting
No parent information is needed to take advantage of the advantages. By utilizing AI to compile AI, non-technological residents are empowered to begin to take an interest in AI upheaval.
- Unlimited calculations
Intended to place the intensity of the gadget stack on the AI transfer. Access PC assets effectively, financially, flexibly, and on demand.
- Confidentiality
Because of the latest and most creative cryptographic strategies, all information and arrangements that are distributed are entirely private, in any case, when shared among clients.
- Certified arrangements
Due to the nature and nature of AI calculations, all settings submitted are confirmed by a programmed machine-to-machine process.
DAIN regulation gather exercises learned over the previous decade and bringing together front-line innovations to offer answers to existing problems.
- Reducing IaaS costs
By utilizing economical processing power, it removes the underlying equipment effort from the IaaS cost conditions. Because this is a distributed system, there is no need to take care of the cooling costs.
- Speed up time-to-showcase
DAIN has a commercial center for AI models created by biological system clients, enabling organizations to share settings and complement existing capabilities. Through the exchange of information and information, ideal opportunities for new improvements will decrease exponentially.
- There are no exchange fees
DAIN is brilliant. DAIN can adjust to blockages and benefit from the movement of its hubs to understand their inspiration, keep legitimate clients from wasting their processing assets or paying exchange fees.
- IoT and 5G are prepared
The absence of fees and the registration model circulating from DAIN allows gadgets with low limits to become part of the system. This innovation will use the availability of 5G and the diversity of gadgets related to the web.
- Zero code setting
No parent information is needed to take advantage of the advantages. By utilizing AI to compile AI, non-technological residents are empowered to begin to take an interest in AI upheaval.
- Unlimited calculations
Intended to place the intensity of the gadget stack on the AI transfer. Access PC assets effectively, financially, flexibly, and on demand.
- Confidentiality
Because of the latest and most creative cryptographic strategies, all information and arrangements that are distributed are entirely private, in any case, when shared among clients.
- Certified arrangements
Due to the nature and nature of AI calculations, all settings submitted are confirmed by a programmed machine-to-machine process.
Problem
But as they say, to offer something you need resources and means to arrange something new. However, there are also cases when technology is available, and their service costs are estimated at tens of thousands of dollars. Thus limiting the number of people who have the opportunity to use this service. Naturally, such questions involve many technological processes, for example: cloud computing, artificial intelligence, and so on.
Therefore, to make this more accessible, a specialist team has developed a new decentralization project that is completely different, like no other. The main concepts that I now offer you to consider together with you.
About the project and its features
So, the first thing I want to start is the name of the DAIN project. As you can see, this is quite concise and easy to remember. At the same time, despite its simplicity, it hides a very global idea which seeks to implement its plans for the introduction and popularization of artificial intelligence in the general mass of society. As you have already guessed, it will be very difficult to achieve such success in the traditional relationship system that we have today. That is why increasingly popular blockchain technology comes to the rescue. The scale of functions and actions allows us to go beyond many aspects of the world of traditional relationships. Revealing unlimited potential for all fields of humanity.
- However, despite the fact that DAIN is based on Blockchain, the idea of structuring was seen by development teams from world giants such as: Uber, Airbnb, and Netflix. If you think about it, remember that for all their strengths, none of these companies own their own real estate or cars and are not even producers of entertainment content. At the same time it does not prevent them from providing intermediary services that connect service providers with their consumers and to benefit from this difference.
Benefits
The founders of DAIN decided to follow the same path. And it turns out, to realize this idea, high-quality decentralized applications and the capacity of tens of thousands of devices that are not used worldwide are sufficient. What these devices can be computers, and smartphones, and laptops and tablets. In addition, users who decide to lease their capacity will be able to receive from DAIN a pleasant compensation stated in the form of a system internal token.
The founders of DAIN decided to follow the same path. And it turns out, to realize this idea, high-quality decentralized applications and the capacity of tens of thousands of devices that are not used worldwide are sufficient. What these devices can be computers, and smartphones, and laptops and tablets. In addition, users who decide to lease their capacity will be able to receive from DAIN a pleasant compensation stated in the form of a system internal token.
- It is important to note that this type of business can open first class access to the use of artificial intelligence, both for personal and commercial purposes, and even for many educational institutions. What has long been needed is such technology that can handle large amounts of information in the shortest possible time.
At the same time, DAIN does not intend to limit its users in every opportunity and level of access, opening the door for all potential DAIN participants.
For me, this idea is just a big plan. After all, with the help of DAIN, every user will definitely be able to solve all their needs. Someone will solve the problem with an additional source of income, giving to use the capacity of the device that is not used. Someone will find the long awaited opportunity to use AI for their own purposes. For corporate clients, DAIN will reduce the costs of many processes, which previously could reach tens of thousands of dollars.
Nilai Token DAIN Token
DAIN is directly related to network computing power. To measure network computing power, a reference index is defined: DIPS (DAIN Performance Index Standards). Each service request handled by the network can be marked with a DIPS number, which represents an estimate of the computational power needed to complete it. DAIN token (DAINT) is defined as the computational capacity that enables the implementation of 1 DIPS service request, in every active Minimum Resource Cell in the network. 1 DAINT = 1 DIPS x #MRCs To prevent the growth of artificial networks, each MRC requires a DAINT backup to be considered active and allowed to provide services.
While the price of certain tasks is driven by supply and demand, there is a pricing mechanism that links them with token values, reducing volatility.
Cost
Services The services provided in DAIN have fees (dsf, DAIN service fees *) paid by the applicant. The purpose of this fee is to reward DAINT holders. Fees are determined as% of the service price, and the corresponding DAINT is
"Burned" (ie no longer circulating on the network). Because the total number of DAINT in the network decreases, the value of DAINT increases, directly giving rewards to DAINT holders.
Wealth Distribution
To ensure the continuity of the network, it is necessary to ensure that all participating actors receive fair rewards, avoiding the centralization of wealth by actors with greater capacity or voice power.
This mechanism encourages new users to share their computing resources through DAIN, regardless of how large or small the device's computing capacity is.
The DAIN protocol applies rules designed to ensure that all types of devices can have equal access to collaborative associations of nodes with heterogeneous characteristics, further ensuring a proportional distribution of gifts.
Roadmap
2018 Q3
Dain network conceptualized
2018 Q4
DAIN complete technical design
2019 Q1
Agreement with Comillas Pontifical University to fund the DAIN research project
2019 Q2
DainWare is funded
White Paper published
Funds collected from 8 angel investors
Advisory Board
2019 Q3
Agreement with SecondWindow to provide development workforce
We're here
2019 Q4
Personal Sales Tokens
Telefónica & Eleven Paths LoI out
2020 Q1
IEO 1.0
Research Article Publication
Case of Industrial Use of PoC
2020 Q2
IEO 2.0 with additional exchange for extended reach
2020 Q3
IEO 3.0
2020 Q4
Launch of Testnet
Demo Demo Konsep
2021
DainServices Settings
go-to-market service providers and integrators
DAIN MVP is productive
Tim DAIN
1. José Ramón García Luque
Founder & CEO
2. Luis Garcia San Luis
Co-founder
3. Carlos Díaz Conde
Business Development & Strategic Alliances
4. Jesús García San Luis
CTO Analysis & Founder 8g
5. Luis Garcia Lorente
NEXT
6. Andrés Contreras Guillen
Head of AI Solutions
7. Daniel Yume
CMO
Research team
1. José Luis Gahete Díaz
2. David Contreras Bárcena
3. David Alfaya
4. Alejandro García San Luis
5. Israel Alonso Martínez
The Advisory Team
1. Alex Puig
2. Francesc Fajula De Quintana
3. Roberto Nuñez Del Rio
4. Peter's Sign
5. Covadonga Fernández
6. José Salamanca
7. Jorge Alonso
8. Ricardo Usaola
9. Valentin Galan
10. Juan Boquera
11. Juan Antonio Sánchez Cañibano
12. Jorge Point
For more information, please visit the link below:
Website: https://dain.ai/
Whitepaper: https://dain.ai/docs/DAIN – Whitepaper_ENG.pdf
Facebook: https://www.facebook.com/dainware
Twitter: https://twitter.com/ dainware
Linkedin: https://www.linkedin.com/company/dain
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