Your Smart Devices Can
Contribute to Cancer Research

A blockchain-based platform for sharing computing resources & data


White Paper Business Plan

What is TuDoLink?

A Sharing Platform

TuDoLink is a secure, transparent and decentralised platform​ where users can share, rent, lease and auction idle computing resources and their data. Researchers and developers save money when using computing power and running experiments; Providers make money when sharing idle computing power or data.

A Future Investment Platform

Trading on TuDoLink, all parties will, directly or indirectly, contribute to the R&D. This is because our initial buyers will be predominantly scientists, researchers, students, medical doctors and so on.
One obvious example will be, if R&Ders need to process big data for a cancer research, instead of paying expensive cloud services or supercomputers, they can simply log onto ToDuLink to buy abundantly cheap or free computing power. Providers are helping to advance cancer treatment research. They may get a free cancer check or health tips from researchers.

A Super Networking Computer

Usres could build a distributed network computing system on TuDoLink, which could contain thousands of CPUs and GPUs. The system could be used for your projects, researches, experiments or programs and so on.

A Blockchain

Codes of tasks, data and transactions are all stored on the Blockchain. Suppliers can take tasks and trace codes of tasks whenever they want. Suppliers can also share and sell their data on the blockchain.


Timeline


Team

Laura F. Robles

Assistant Professor of University of Leon
Ph.D. of University of Leon
Ph.D. of University of Groningen
Computer scientist in machine learning, mathematics, artificial intelligence and pattern recognition.

Nicola Strisciuglio

Postdoctoral researcher of University of
Ph.D. of University of Salerno
Computer scientist in distributed system, artificial intelligence, pattern recognition, big data and internet of things. VIPIMAGE's 2015 best paper award.

Jiapan Guo

Postdoctoral researcher of University Medical Center Groningenf
Ph.D. of University of Groningen
Computer scientist in distributed system, depth learning, big data, graphic data field and medical image processing.

Ugo Moschini

Ph.D. of University of Groningen
Computer scientist in distributed system, parallel computing, big data, intelligent system, robotics, neuroscience, pattern analysis and remote sensing image processing.

Estefanía T. Martínez

Ph.D. of University of Groningen
Ph.D. of University of Barcelona
Computer scientist in distributed system,lifelogging, deep learning, artificial intelligence, pattern recognition and big data.

Chenyu Shi

Ph.D. of University of Groningen
Computer scientist in distributed system, blockchain, machine learning, depth learning, pattern recognition.

Nicolai Petkov

Professor of computer science at the University of Groningen
Head of the system of Intelligent Systems
Author of two monographs and coauthor of another book on parallel computing, holds four patents and has authored over 100 scientific papers.

Peter Van Ooijen

Associate Professor of Medical Imaging Informatics at the University Medical Center Groningen
Discipline Leader Medical Imaging Informatics
Board member of the European Society for Medical Imaging Informatics (EuSoMII)
Working in Medical Imaging Informatics on advanced visualization and processing of imaging, human machine interaction and 3D planning and printing. Author of over 120 international, peer reviewed, publications and over 20 book chapters.

George Azzopardi

Assistant Professor of University of Groningen
Senior AI Specialist at Crowdynews
Affiliated with the University of Malta
Award of the Tenure Track project. The founder of the COSFIRE algorithm in the field of pattern recognition and machine vision.

Zhi Zhang

Founder of cloud poly (Beijing) Technology Co., Ltd.
Groningen
The inventor of the core technology of the WPS curve of Chinese characters. He has long been a senior software designer in Microsoft and a technical director of the "Venus program". And lead the development of China Mobile 139 mobile phone mailbox and other star commercial products.

Manuel A.L. Antequera

Ph.D. of University of Groningen
Ph.D. of University of Málaga
Computer scientist in deep learning, robotics, distributed system, parallel computing, big data and pattern recognition.

Xiyuan Hu

Ph.D. of the Institute of automation, Chinese Academy of Sciences
Harvard University medical school, visiting scholar research field signal adaptive decomposition theory, video and image processing, physiological signal analysis.

Will O'Brien

Initial Coin Offering Marketing Advisor
Entrepreneur, Freelance ICO and Blockchain consultant, Community Leader and Cryptocurrency market analyst

Harshit Talavia

Initial Coin Offering Marketing Advisor (India)

Tim Michael Buhr

Initial Coin Offering Marketing Advisor (Germany)

Eddie Damsma

Initial Coin Offering Marketing Advisor (France)

Daniel Driessen

Founder of www.blocker.nl
Client at Gemeente Den Haag

Guangfei Zhang

Consultant of PwC
Data analytics
Specialist of biomedical signal processing, data analysis, computer vision and system integration

Angelina Meijlink

Legal Counsel
ING Commercial Banking

Jing Shao

Promoter of CICPA mutual gold circle at the Southeast University
In charge of Huarun, first brigade and other financial leaders, mainly engaged in blockchain investment, venture capital and equity investment

Founder: Astone

Ph.D of computer science at the University of Groningen in the Netherlands
Computer scientist and AI specialist in Distributed System, Blockchain, Machine Learning, Pattern Recognition and Big Data
Founder of CHIWEN B.V.
Consultant of IZENE Group
Consultant of IBO Technology


Keep in Touch


Partnerships


FAQ

- Easy: We use in-browser implementation technology. Users can share computing resources on ToDuLink by just 1 click of a button on the browser, no need for any additional hardware or software.
- Transparency: Codes of tasks traceable on blockchain.
- Social: ​Free communication between R&Ders and suppliers.
- Secure: ​Program Guarantee. ToDuLink also provides insurance for financial loss. That is how confident we are about our technology.

Yes. Our tech is supported by a strong team of university professors, post-doctorals and PhDs, embodying academic rigor and technological frontier. All their information can be found on our website.

One obvious example will be, if R&Ders need to process big data for a cancer research, instead of paying expensive cloud services or supercomputers, they can simply log onto ToDuLink to buy abundantly cheap or free computing power.
For the providers, they know exactly that they are helping to advance cancer treatment research. Moreover, they may get a free cancel check or health tips from the researchers.

Our vision is to build a blockchain-based marketplace for people to trade computing resources and data around the world.

- Tu: As a Chinese saying goes, Water of the TU Brings Spring (土之水,引春泉 ) It means little help brings much return.
- Do: Just do it.
- Link: Link everyting of blockchain


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