- 1 Overview of Decentralized Machine Learning
- 2 What Is Decentralized Machine Learning's Price Today?
- 3 What are the Risks of Centralized AI Solutions?
- 4 What do you think about the Decentralized Machine Learning today?
- 5 What is Decentralized Artificial Intelligence (AI)?
- 6 How Decentralized AI can be Achieved?
- 7 How Many Decentralized Machine Learning Coins Are There?
- 8 What Next?
- 9 How to find new cryptocurrency projects?
- 10 How Much Did Decentralized Machine Learning Raise?
- 11 History of Decentralized Machine Learning
Overview of Decentralized Machine Learning
What Is Decentralized Machine Learning's Price Today?
Decentralized Machine Learning (DML) is trading at $0.0028 USD, increasing by 3.74% since yesterday.Decentralized Machine Learning has traded $0 USD in the last 24 hours.
What are the Risks of Centralized AI Solutions?
The current AI solutions are completely centralized and involve a lot of risks for the companies that implement any of them.Some of those risks are:
The Rich Get Richer Problem: Many of the AI solutions in the market are provided by large companies that control huge datasets.These datasets keep increasing constantly as the more data they own, the more datasets they produce.Dataset Owners Influence Populations: Centralized AI systems can influence populations and direct knowledge based on their willing.For example, imagine the influence that political campaigns launched on Google, Facebook, Twitter, etc.have and how they can impact the outcome of an election.
What do you think about the Decentralized Machine Learning today?
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What is Decentralized Artificial Intelligence (AI)?
Decentralized AI is one of the most promising trends in the AI space.These models provide the opportunity to large companies that control huge datasets to be independent.Blockchain technology has contributed a lot to the development of this trend.It has paved the way for a decentralized ecosystem where data scientists, data providers, consumers, and all other involved parties collaborate in order to create AI architectures without the need of a centralized control authority.
How Decentralized AI can be Achieved?
Many subsets of cryptography have been already developed, which helps the empowerment of a Decentralized AI environment.These techniques offer ways of distributing datasets among many counterparts securely and ensuring the confidentiality of data.
How Many Decentralized Machine Learning Coins Are There?
There are currently 272,937,007 Decentralized Machine Learning coins circulating out of a max supply of 272,937,007.
In the next articles, we will further explore different components of Decentralized Machine Learning protocol, including the participants, the function of decentralized nodes and the blockchain smart contracts.You will also meet our team and understand why we are building DML Protocol.
How to find new cryptocurrency projects?
One of the biggest challenges in the crypto space is to find the right projects at the right time.There are hundreds of projects launched…
How Much Did Decentralized Machine Learning Raise?
The Decentralized Machine Learning ICO (initial coin offering) raised $3,230,500 USD by selling 61326423.52941176 Decentralized Machine Learning tokens at a price of $0.17 USD.The Decentralized Machine Learning ICO began on April 16, 2018 and ended on April 22, 2018.Key team members during the Decentralized Machine Learning ICO included Victor Cheung, Michael Kwok, and Jacky Chan.