DAIN
public computing networks that are geologically distributed and distributed through the blockchain
Each user can teach the brain how to do certain tasks and then ask these tasks to be executed. Likewise, other users can request the same task to be executed, as long as the first user has ordered the brain to allow others to access this knowledge.
The brain will remember all the tasks learned and continue to improve its performance. Finally, it can perform a number of tasks simultaneously, with its size limit only. The brain has the potential for unlimited growth by adding more computing devices. Like the natural brain, it must consume energy to do any task. In this case, energy is a gift given to the owner of the device
DAIN is the most advanced technology. He has expertise in handling and completing stages of artificial intelligence and man-made awareness, a decentralized and geographically dispersed open formation system represented by an artificial block development system. DAIN enables their productive use in processing their assets from any gadget found anywhere on the planet to handle complex AI problems related to complex computing operations. This rewards equipment owners and creates AI commercial centers where organizations with similar needs can organize or find jointly.
What is DAIN?
DAIN is the next generation artificial intelligence platform, a geographically distributed decentralized public computing network driven by the integration of 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 rent 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.
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 cost-efficient 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, the ideal opportunities for new improvements will decrease exponentially.
- There is no
brilliant DAIN exchange fee. 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 in circulation 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 calculation
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 is the next generation artificial intelligence platform, a geographically distributed decentralized public computing network driven by the integration of 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 rent 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.
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 cost-efficient 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, the ideal opportunities for new improvements will decrease exponentially.
- There is no
brilliant DAIN exchange fee. 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 in circulation 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 calculation
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 SOLUTIONS
As explained, DAIN Solutions provides ready-to-use business solutions. This section details the initial set of solutions that will be provided on the DAIN platform
As explained, DAIN Solutions provides ready-to-use business solutions. This section details the initial set of solutions that will be provided on the DAIN platform
- Empathy - Engagement platform
- Knowledger - AI Marketplace
- The soul - an autonomous agent
- Psyche - Intelligent Travel Platform Made by Zero Code
- Intuition - DAIN
ECONOMIC Laboratory The
DAIN applies various techniques to improve the stability of utility tokens and the overall system: - The DAIN token value is referred to by the computational power that forms the network.
- Tokens have reduced volatility, because values (not prices) are related to tangible and measurable indicators.
- There are clear drivers of growth in the value of tokens.
- Wealth distribution
Roadmap
We are just the beginning, but everything has been mapped and planned. Learn about the next steps.
Tim DAIN
The DAIN team consists of professionals with extensive experience in startups, entrepreneurship and large multinational companies. We are also proud to have the support of collaborators from various sectors and the academic world.
José Ramón García Luque
Co-founder & CEO
Cognitive & AI Architect di Sabadell Bank
Cognitive & AI Architect di Sabadell Bank
José Ramón is an Artificial Intelligence and Cognitive Architect at Banco Sabadell in Spain. He previously worked as a consultant, participating in various digital transformation projects in several financial institutions as well as in the design and development of innovative digital assets in technologies such as big data, IoT, AR, VR, cellphones and blockchain. José Ramón defines himself as a technologist and dominates many disciplines. He has a bachelor's degree in Telecommunications Engineering from the University of Alcala and a master's in Intelligent Electronic Systems.
Luis Garcia San Luis
Luis is the Head of Information at Deutsche Bank of Spain. Previously, he held different management positions in financial institutions and technology and consulting companies. After earning a bachelor's degree in Computer Science and Engineering at the Universidad Politécnica de Madrid, he completed his education at the Instituto de Empresa and Yale University. Luis brings with him deep experience in transforming technology shops into a very complex and orderly environment and the adoption of a new computing paradigm. Previously, he founded two startups in the cloud and mobile payments sector.
Carlos Diaz Count
Carlos holds a bachelor's degree in Computer Science and Engineering from UPM and an executive master's degree from Groupe HEC Paris. He has more than 15 years of experience performing management functions for business development and growth in multinational companies in the consulting, technology, big data and analytic sectors, such as Ericsson, Steria, Amdocs, and Pontis (Sequoia company). Extensive European business development experience in all aspects of new & existing business, sales, account development, startup businesses, alliances & partnerships, launching solutions and planning 'go to market' solutions and P&L responsibilities.
Jesus Garcia St. Louis
Jesús, who has a bachelor's degree in Computer Science from Universidad Politécnica de Madrid, has extensive experience in team management both at Repsol, where he has worked since 1993, and previously in companies such as Ernst & Young and Telefónica. His extraordinary leadership capacity has made him a huge success when directing high-tech risk projects for Repsol in the field of upstream information technology, refining, and petrochemicals. He also oversees research and development projects for the Repsol Technology Center in the fields of computing and industrial mathematics.
Luis Garcia Lorente
Luis has been consistently committed to entrepreneurial activities since he began his career more than 20 years ago. After gaining experience in C-level positions in technology and service companies, he began to specialize in corporate finance and funding for SMEs and beginners. Soon after, he began working as a private fundraiser and collaborator with other corporate financial companies.
Andrés Contreras Guillen
Serial Entrepreneurs + 10 years of multidisciplinary expertise on startups and large companies, develops and brings disruptive solutions based on artificial intelligence and big data. Ex everis (NTT Data) Head of Artificial Intelligence and Robotics in the nuisance innovation unit (NextGen) as well as Chief Hacking Officer at everis (Data NTT). Previously the Head of the Hyperloop Transportation Technology Lab, also, worked as an independent contractor for the largest largest ICT company.
Daniel Yume
Daniel turns ideas into projects with the aim of validating them, making them grow and giving them the appeal needed to make them invoices, last or sell. With more than 1.2 million euros billed in various Growth projects, Crowdfunding, and sales funnels, from Facebook to Google. It has launched two Startups. He has become the Design Leader at Técnicas Reunidas and Business Leader in NTT Disorders.
Research team
The Advisory Team
For more information, please visit the link below:
Website: http://dain.ai
Telegram: https://t.me/dainware
Twitter: https://twitter.com/dainware
Facebook: https: // www.facebook.com/dainware
Username belgusoWebsite: http://dain.ai
Telegram: https://t.me/dainware
Twitter: https://twitter.com/dainware
Facebook: https: // www.facebook.com/dainware
Link: https://bitcointalk.org/index.php?action=profile;u=2633296
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