Decentralized Machine Learning

Decentralized Machine Learning

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Entfesseln Sie ungenutzte private Daten, unbenutzte Rechenleistung und Crowdsourcing-Algorithmen
  • Markt
    Paar
    Preis
    Band 24H
    24H (Preis)
    24H (Volumen)
  • Idex
    DML/ETH % count% vor einem Jahr
    $ 0.0017
    $ 30.35
    -
    -
  • Uniswap (v3)
    DML/ETH % count% vor einem Jahr
    -
    -
    -
    -
  • Hotbit
    DML/ETH % count% vor einem Jahr
    $ 0.0004
    $ 5.478 K
    -3.93%
    19.61%
  • DDEX
    DML/WETH % count% vor einem Jahr
    $ 0.0133
    $ 14.53
    -
    -
  • Joyso
    DML/ETH % count% vor einem Jahr
    $ 0.0345
    -
    -
    -
  • Bamboo Relay
    DML/WETH % count% vor einem Jahr
    -
    -
    -
    -
Mär, 2018
Mär, 2018
100% abgeschlossen
$10 425 492
100% ziel abgeschlossen
past
Token-Details
Ticker
DML
Firmendetails
Eingetragenes Land
Singapore
Weitere Details
Whitelist
Ja ,
Kategorien
Andere

Über Decentralized Machine Learning

Die Dominanz von Tech-Titanen in der aktuellen Landschaft des maschinellen Lernens hat zu Wettbewerbsverzerrung und ungleichmäßiger Ressourcenverteilung geführt. DML gibt den Menschen die Autonomie des maschinellen Lernens und der Daten wieder, indem es die Entwicklung von Daten, die Verarbeitungsleistung und die Entwicklung von Algorithmen in einer Open-Source-Infrastruktur und einem Ökosystem dezentralisiert.

Die DML-Infrastruktur wird maschinelles Lernen, Blockchain und föderierte Lerntechnologien auf dem Gerät anwenden. Sie entfesselt die ungenutzte Datennutzung ohne Extraktion und ohne Prozessorleistung für maschinelles Lernen. Algorithmen werden von einer Entwicklergemeinde über den Markt gedrängt, was zu Innovationen aus der Peripherie führt.

Decentralized Machine Learning Roadmap

  • February 2016

  • Google published the research paper on federated learning
  • March 2016

  • AlphaGo beat Lee Sedol in Go
  • March 2017

  • Idea generation of decentralization in machine learning
  • April 2017

  • Google published research blog in federated learning
  • Weiterlesen
  • May 2017

  • Development of proof of concept
  • September 2017

  • Idea generation of decentralization in algorithms
  • December 2017

  • Whitepaper published and DecentralizedML.com online
  • February 2018

  • Release of DML Protocol Gen 0 (DML Algo Marketplace) Prototype
  • April 2018

  • Token Generation Event and Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta
  • May 2018

  • DML Algo Marketplace online
  • June 2018

  • Release of DML Protocol Gen 1 alpha (decentralized machine learning on-device private data)
    Research of state channels for increasing DML scalability
  • July 2018

  • First DML Algo competition to grow and support developers’ community
    Release of DML Protocol Gen 1 beta
  • September 2018

  • DML Protocol Gen 1 online
  • December 2018

  • Release of customized state channels for increasing DML scalability
  • Q1 2019

  • Release of DML Protocol Gen 2 beta (decentralized machine learning on-device private data with third-party service and data access)
    Research of multi-chain support and interoperability
  • Q2 2019

  • DML Protocol Gen 2 online
  • July 2019

  • Release of DML Protocol Gen 3 beta (decentralized machine learning on-device private data with third-party service and data access and mobile sensors/ IoT connection capability)
  • September 2019

  • DML Protocol Gen 3 online
  • Q4 2019

  • Research of general purpose API start for expanding usage of DML marketplace from machine learning to general applications
  • Q1 2020

  • Research of new blockchain supporting mass adaption of general purpose decentralized applications and data privacy
  • Q2 2020

  • Release of DML Protocol Gen 4 beta (Support deployment of general applications)
  • Q4 2020

  • DML Protocol Gen 4 online

Decentralized Machine Learning Mannschaft

Verifiziert 0%

Beachtung. Es besteht das Risiko, dass nicht verifizierte Mitglieder nicht Mitglieder des Teams sind

Victor Cheung
Blockchain Developer
unbestätigt
Michael Kwok
Project Lead Director
unbestätigt
Jacky Chan
Blockchain and Software Developer
unbestätigt
Pascal Lejolif
Machine Learning Engineer
unbestätigt
Wilson Lau
Machine Learning Engineer
unbestätigt
Patrick Sum
System Security Engineer
unbestätigt

Berater

Verifiziert 0%

Beachtung. Es besteht das Risiko, dass nicht verifizierte Mitglieder nicht Mitglieder des Teams sind

Guillaume Huet
Advisor
unbestätigt
Michael Edesess
Advisor
unbestätigt

4 ICO

$10 425 492

Roderik Van Der Graa...
Advisor
unbestätigt

2 ICO

$10 425 492

Kyle Wong
Advisor
unbestätigt
Scott Christensen
Advisor
unbestätigt

2 ICO

$100 425 492

Steven Cody Reynolds
Advisor
unbestätigt

Decentralized Machine Learning Letzte Nachrichten

$ 0.0001
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Market Info
Market Cap:
Volume 24h:
$ 0.2099
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Ticker:
DML

% name% Bewertungen

icocrunch.io
review

It’s predicted that by 2020 the machine learning industries revenue will exceed $210 billion. Many IT market monsters as Microsoft, Amazon, and Google invest hugely into development of the machine learning technology. Returning to the story about the Go match, the AlphaGo program was developed by Google DeepMind. The idea of DML to create an open source decentralized platform to encourage developers to contribute into the machine learning technology will definitely accelerate innovations in this sphere and give businesses both brand-new and improved algorithms. DML has already made the first important step to the goal – they’ve launched a working prototype of their DML Protocol. The idea is straightforward, the hype behind the machine learning technology is huge, and the team is excellent. All in all, the project is very promising and is definitely worth your attention.
A strong project standing a step ahead of its competitors and aiming to put the machine learning technology on a decentralized basement.

Weiterlesen
Ian Balina

Decentralized Machine Learning (DML) is an interesting project, but development is still very early. I think it would be better if they waited until having a testnet to do an ICO. Not looking to fund research/development phase of projects right now, especially during ICO winter.

Weiterlesen
DiddyCarter
B+

Decentralized machine learning. Looks good. need proof of care to get higher allocations

Weiterlesen
Coin Bloq

DML wants to build a decentralized machine learning protocol that harnesses the idol processing power of users devices for AI training and modeling while protecting users data.
The team have actually collaborated and worked on well-known projects in the blockchain space.
Finally the DML project has a video showcasing the prototype in action with use of algorithm, marketplace and the DML application. It is concern whether people are ready to submit their data over to DML and other third parties, and finally the success of DML AI training protocol actually hinges on the number of users running the DML app.
I actually gave them 4 out of 10 for hype, I think this is definitely under the radar. When it comes for the team I think they have a very strong and capable team, actually gave them 7.5 out of 10.
For the token economics I am very bullish I gave them 7.5 out of 10 and that’s for two reasons on the hard cap is set at only 28,000 ETH, which I think is great under the current market and the whitelisted participants are only going to be getting 10% bonus.

Weiterlesen
Crypto Briefing
75%

DML offers a product with the potential to unlock a huge source of value for developers, enterprises and users. Compared to other machine learning solutions that focus exclusively on incentivizing developers, DML have designed a more comprehensive and inclusive ecosystem.
Of course, the success of that ecosystem will ultimately depend on user adoption, which remains the big question at the moment.

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