DECENTRALIZED ARTIFICIAL INTELLIGENCE NETWORK
INTRODUCTIONT
he advent of technology and Artificial Intelligence has brought about ease in our daily activities and our means of livelihood generally. People have become less overworked in certain places, as well as enjoy all the existing benefits of humanity in the most ordinary everyday life. All thanks to the innovative ideas that visited the minds of certain individuals.
Artificial intelligence is a part of software engineering that intends to make canny machines. It has become a basic piece of the innovation business. Research related with man-made brainpower is exceptionally specialized and concentrated. The center issues of Artificial intelligence incorporate programming PCs for specific attributes, for example, Information, Reasoning, Problem fathoming, Perception, Learning, Planning and Ability to control and move objects.
The man-made reasoning unrest has begun and associations in assembling, transportation, retailing, money, amusement, instruction, and about each other industry are changing their center procedures and plans of action to exploit. Not exclusively is AI changing ventures and organizations, it assumes a colossal job in our every day life. How we get around, what we choose to eat, the amount we pay for a brew are frequently reliant on AI arrangements.
In spite of its extraordinary effect on society and gigantic interest, AI and its needs are hard to comprehend on account of its multifaceted nature. Organizations and experts are not set up for its enormous scale misuse. These conditions particularly influence the most conventional organizations, which are off guard in the midst of problematic change. To guarantee the reasonable, modest and dexterous combination of AI in the public eye, profiting the two organizations and their clients, explicit devices are required that address these section boundaries.
That is decentralized AI! As we push ahead, I see three gigantic favorable circumstances of
decentralized AI over customary AI:
Insignificant inactivity or no reliance on arrange association
Preparing is increasingly effective or done in a decentralized manner
Less Power Consumption or once more, no reliance on organize association
FEATURES OF DAIN
Understanding and leveraging the possibilities of an artificial brain with unlimited scalability is a complex task. This white paper splits the explanation of DAIN’s potential into three different interlinked components, examined separately and in detail:DAIN Ecosystem:
DAIN is created, built, and grown by and for its users. Like the internet, 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 ECOSYSTEM
DAIN is conceptually designed to interact with two kind of users, end users and institutions (private companies or any other kind of institution, such as 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.
DAIN SOLUTIONS
As described, DAIN Solutions provide ready-for-use business solutions. This section details the initial set of solutions that will be provided on top of the DAIN platform
Empathy – Engagement platform
Knowledger – AI Marketplace
Soul – Autonomous agents
Psyche – A Zero-Code Artificial Intelligent Journey Platform
Intuition – Laboratory
DAIN ECONOMY
DAIN implements different techniques to promote the stability of the utility token and the overall system:
DAIN token value is referenced by the computing power constituting the network.
The token has reduced volatility, as the value (not the price) is linked with real and measurable indicators.
There are clear token value growth drivers.
Wealth distribution
TOKEN INFORMATION
A DAIN token is directly linked to the computing power of the network. To quantify the network’s computing power, a reference index is defined: DIPS (DAIN Index Performance Standard). Every service request handled by the network can be characterized by a DIPS number, which represents the estimated computing power required to solve it. A DAIN token (DAINT) is defined as the computing capacity allowing the execution of a service request of 1 DIPS, in every active Minimum Resource Cell in the network. 1 DAINT = 1 DIPS x #MRCs To prevent artificial network growth, each MRC requires a DAINT reserve to be considered active and allowed to provide services.
While the price of a specific task is driven by supply and demand, there is a pricing mechanism that links it to the token value, reducing volatility.
ROADMAP
We 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
We are here
2019 Q4
IEO 1.0
Token Private Sale
Telefónica & Eleven Paths LoI sign off
2020 Q1
IEO 2.0 with additional exchanges for extended reach
Research Article Publication
PoC Industrial Use Case
2020 Q2
ICO
2020 Q4
Testnet launch
Concept Demo Release
2021
DainServices set-up
Go-to-market service provider and integrator
The DAIN Team
José Ramón García Luque
Co-founder & CEO
Cognitive & AI Architect at Sabadell Bank
Luis Garcia San Luis
Co-founder
CIO at Deutsche Bank SAE
Carlos Díaz Conde
Business Development & Strategic Alliances
Jesús García San Luis
CTO
CTO & Founder 8g Analytics
Technology Advisor LossLessLinen
Luis Garcia Lorente
COO
Promptwave founder
(ICEX Innovation award)
Strategic Partner Advisor & Judge @StartupEurope Awards
Andrés Contreras Guillen
Head of Solutions & Services
Research Team
José Luis Gahete Díaz
Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
David Contreras Bárcena
Director of the Department of Telematics and Computing at Universidad Pontificia Comillas de Madrid ICAI-ICADE
David Alfaya
Professor in the Department of Applied Mathematics of the ICAI School of Engineering
Alejandro García San Luis
Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
Israel Alonso Martínez
Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
Advisory Team
Francesc Fajula De Quintana
Director Open Innovation at Banco Sabadell
Roberto Nuñez Del Rio
Founder at Why? Training and HubIT Digital
Marcos De Pedro
CEO at myClouddoor
Covadonga Fernández
Director at Blockchain Observatory
José Salamanca
COO at UST Global España & LATAM
Jorge Alonso
General Director at Second Window
Ricardo Usaola
Regional Vice President - Iberia MuleSoft Sales at Salesforce
Valentin Galan
Channel and Alliance Regional Partner Director at Mulesoft, a Salesforce Company
Juan Boquera
Operations Manager at The Cocktail
Juan Antonio Sánchez Cañibano
Head of Digital Services Sales Specialists
Jorge Aponte
Influencer Blockchain & Crypto | Global Busines Developer
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