Dain: DECENTRALISED ARTIFICAL INTELLIGENCE NETWORK – Tot Monyke
Artificial intelligence is positioned at the core of the next-gen software technologies within the market. Companies like Amazon, Google, IBM and Microsoft have actively implemented AI as an important a part of their technology. But this comes at a cost: the vast number of computer resources required to perform these tasks. The hardware must be constantly renewed and consumes huge amounts of electricity for cooling. And with the exponentially increasing amount of knowledge to take advantage of , the trend is merely growing. The cloud market is valued at USD 291 billion in 2019 and is predicted to succeed in USD 1.25 trillion by 2025, at a CAGR of 27.50% during the forecast period. Machine learning is projected to be the segment with highest growth, reaching USD 188.4 billion by 2025, at a CAGR of 48.60%.
DAIN aims to provide easy, affordable access to AI, enabling all consumers, from small businesses to large corporations, to extract knowledge from big data, reduce time-to-market in the generation of models, and monetize data and knowledge. DAIN enables users to rent the idle computational power of your devices and computers in order to be used by companies solving AI problems. DAIN allows companies to generate new business models, new relationship models with their customers and new revenue streams, providing a safe space where they can sell, rent and share knowledge, solutions, data and infrastructure securely to create, consume and execute AI. Through DAIN, a company of any size can easily and efficiently train a new model with its own data and/or data from external sources provided to DAIN. It can then refine the model with third-party data available in the data marketplace. The company can publish the model in the model marketplace and generate revenue from it while maintaining ownership, control and knowledge of the model. Or alternatively, it can monetize its data, allowing others to train their models or execute them with enriched data, all while keeping the data secure and without sharing it with any third party.
Understanding and leveraging the capabilities of a man-made brain with unlimited scalability may be a complex task. This white book splits an evidence of the potential DAIN margin into three different interconnected components, individually tested and detailed:
DAIN Ecosystem:
DAIN is created, built, and grown by and for its users. Like theinternet, DAIN users will define what DAIN will become in the future. Users can participate in this ecosystem by playing different roles.
DAIN Solutions:
The business toolbox designed to offer out-of-the-box value to
DAIN users:
It aims to streamline the democratization of AI and enable new business models.
DAIN Platform:
The core underlying infrastructure that enables the ecosystem and the creation of solutions. Its mission is to establish a secure marketplace for computing resources, data and AI models.
DAIN is conceptually designed to interact with two quite users, end users and institutions (private companies or the other quite institution, like universities or research centers).
End Users Fuel the computational resources market, sharing the free computing capacity of their devices to cover institutions’ requests for service, receiving a reward (tokens) as payment.
Institutions make requests for service to the network, consuming its computational resources. Depending on the type of service request, they can be divided into:
Producers: They create new AI models trained in DAIN using their own data and/or data provided by the network members, paying tokens in exchange for the usage of the required computing resources or data. These solutions can be created only for their own consumption, or they can be exposed in the marketplace at any time to generate new revenue streams.
Consumers: They directly access the AI marketplace to reuse existing solutions created by Producers.
It is relevant to note that while initially, DAIN is expected to grow with each type of user playing the specific roles described, it is not limited to this model. For example, Institutions with their own datacenters or cryptocurrency miners could play the “End User” role and share their computing resources through DAIN, obtaining DAIN tokens in exchange.
They are just beginning, but everything is already mapped out and planned. Learn about our next steps.
2018 Q3: DAIN network conceptualized
2018 Q4: DAIN technical design complete
2019 Q1: Agreement with Universidad Pontificia de Comillas to fund a research project on DAIN
2019 Q2: DainWare funded
White Paper published
Funds raised from 8 angel investors
Advisor Board
2019 Q3: Agreement with SecondWindow to provide development workforce
2019 Q4: Industry alliances
Token Private Sale Telefónica & Eleven Paths LoI sign off Selected in the fifth edition of the acceleration program of Bankia Fintech by Insomnia
2020 Q1: IEO 1.0Research Article Publication PoC Industrial Use Case
2020 Q2: IEO 2.0 with additional exchanges for extended reach
2020 Q3: IEO 3.0
2020 Q4:Testnet launch
Concept Demo Release
2021DainServices set-up
go-to-market service provider and integrator
DAIN MVP productive
Through this article I have not been able to analyze all the interesting things of the project but what I share above. For this project I believe its future product will be very useful to humans. Also to find more information about the project you can find out through the following useful links:
Website : http://dain.ai/
Whitepaper : https://dain.ai/docs/DAIN%20-%20Whitepaper_ENG.pdf
Twitter : https://twitter.com/dainware
Facebook: https://www.facebook.com/dainware
Telegram: https://t.me/dainware
You can contact me via:
Bitcointalk username: Totmonyke
Bitcointalk link profile: https://bitcointalk.org/index.php?action=profile;u=2722879
My ETH: 0x4920bcfa4ac118701047268247512dde52791422
Published at Wed, 29 Jan 2020 15:33:17 +0000
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