Rabu, 11 Desember 2019

DAIN

Decentralised Artificial Intelligence Network



INTRODUCTION

Artificial intelligence is positioned at the core of the next-gen software technologies in the market. Companies such as Amazon, Google, IBM and Microsoft have actively implemented AI as a crucial 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 data to exploit, the trend is only growing.
The cloud market is valued at USD 291 billion in 2019 and is expected to reach 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 COMPONENTS

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 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.

How is DAIN comparable to a huge brain?

Any user can teach the brain how to perform certain tasks and subsequently ask for these tasks to be executed. Likewise, another user can ask for the same tasks to be executed, as long as the first user has instructed the brain to allow others to access this knowledge
The brain will remember all the tasks it learns and continuously improve its performance of them. Eventually, it could perform any number of tasks simultaneously, with the sole limitation of its size. The brain has the potential for unlimited growth by adding more computing devices. Like a natural brain, it must consume energy to perform any task. In this case, the energy is the reward given to the device owners.

Our Mission

1. Democratize AI access
AI out-the-box. No restrictions on data, computational resources, knowledge or time to consume AI.
2. Clear monetization models
Create new data-based revenue streams without losing control, ownership or awareness of your model.
3. New business & relationship models
The exchange of exclusive assets and services between companies and their customers/partners.

Why DAIN is necessesary ?

AI entry barriers
Despite its great impact on society and enormous demand, AI and its needs are difficult to understand. Businesses and professionals are not prepared for its large-scale exploitation. These circumstances especially affect the most traditional companies, which are at a disadvantage amid disruptive transformation. To ensure the fair, cheap and agile integration of AI in society, benefiting both companies and their customers, specific tools are needed that address these entry barriers.
Vendor lock-in and neutrality
Black box behavior makes it extremely difficult to audit AI. The models can introduce biases through data, deviating solutions from the desired outcome. Or biases can be introduced by model creators when the created models reproduce representations of reality that do not match their ideological interests. Unaudited AI services from cloud computing service providers increase these problems. It is necessary to give companies the opportunity to choose the most neutral and impartial solutions and avoid vendor lock-in.
Sustainability
Recent studies warn of the huge carbon footprint and the high consumption of electricity resulting from the current approach to Cloud, AI and DLT. Today’s data processing centers consume around 3% of the energy produced by humans, and the power consumption of bitcoin mining already surpasses that of Switzerland. It is not necessary to manufacture more dedicated hardware to cover the technical needs of both technologies. To ensure sustainability, we need to better utilize the resources we already have in a more efficient way.

What happens when Artificial Intelligence meets Blockchain?

DAIN is for you
We are creating an ecosystem made up of businesses and end users,
enabling unlimited B2B, B2C, B2B2C models
Hardware providers
You can sell your unused computing power from any kind of device or equipment, anytime, anywhere.
Producer clients
Create artificial intelligence models through your data or with third-party data and sell these models to generate new revenue streams
Consumer clients
Apply existing AI solutions on demand with no limitations on computing capacity, knowledge or data

Solution benefits

DAIN gathers the lessons learned over the past decade and brings together the most cutting-edge technologies to offer a solution to existing problems.
Reduce the costs of IaaS
By using spare computing power, it eliminates the initial hardware investment from the IaaS cost equation. As it is a dispersed network, it does not need to cover cooling costs.
Accelerate time-to-market
DAIN has a marketplace of AI models created by ecosystem users, allowing companies to share solutions and harness the potential of existing knowhow. Through data and knowledge-sharing, the time for new developments will be reduced exponentially.
No transaction fees
DAIN is smart. DAIN can adapt to congestion and learn from the activity of its nodes to understand their motivations, preventing honest users from wasting their computing resources or paying transaction fees.
IoT and 5G ready
The absence of fees and the distributed computing model of DAIN allow very low capacity devices to be part of the network. This technology will leverage 5G connectivity and the wide heterogeneity of devices connected to the internet.
Zero-code solution
No expert knowledge is required to take advantage of its benefits. By using AI to design AI, non-tech citizens are enabled to start participating in the AI revolution.
Unlimited computing
Designed to put the power of a myriad of devices at the disposal of AI. Access computer resources easily, economically, elastically and on demand.
Confidentiality
Thanks to the latest and most innovative cryptographic techniques, all data and published solutions are completely confidential, even when shared among users.
Certified solutions
Thanks to the properties and nature of AI algorithms, all delivered solutions are certified by an automatic machine-to-machine process.

We’re making a difference

We’re working on a set of new technologies to completely change the paradigm of decentralized computing in solving artificial intelligence problems.
Noesis Protocol
Novel scalable distributed ledger technology based on stressless DAG, allowing the demand-driven management of network congestion.
Recruitment Protocol
Anti-spam protocol based on t-threshold cryptography schemas, topology location testing and capacity testing.
Fractal Multi-Cast Propagation
Content-publishing protocol through flooding over P2P networks, enables network scalability while optimizing propagation time.
Quorum Confirmation
Security protocol against network forks applying voting statistical convergence to Byzantine fault tolerance.
Encrypted AI
Homomorphic encrypting mechanism that guarantees confidentiality of data used for model training and the generated models stored in blockchain.
Useful Proof of Targeted Work
Algorithm that allows the network’s computational resources to be used to solve real problems and certify them as proof of work.
Distributed Computing Framework
Speed up the identification of the best solution by allocating optimal computing power to solve your AI problems.
Secure Multiparty Computation
Enables trustworthy computation and content publishing in unsecured environments. Detect and manage malicious activities through roles based on game theory.

The 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

The DAIN team is made up of professionals with extensive experience in startups, entrepreneurship and large multinationals. We also are proud to have the support of collaborators from multiple sectors and the academic world.
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 @Startup Europe 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
Author: KHAN SHIQ QHEIL
Diposting oleh di

Tidak ada komentar:

Posting Komentar

Langganan: Posting Komentar (Atom)