DML is a Blockchain-based decentralized machine learning protocol
Decentralized Machine Learning (DML) will unleash untapped private data, idle processing power and crowdsource algorithms development by on-device machine learning, blockchain and federated learning technologies. It is not just a platform but an ecosystem where you will find three interacting parties: Algo Marketplace: where developers can submit their algorithms and get paid when they are used. Decentralized Nodes: machines that anyone can host & Multiple devices like phones, tablets, laptops etc.
Some key highlights –
- A working prototype of their Algo Marketplace and the App is running on an Ethereum testnet 💪
- Significant activity on their Github indicating the team is focused on developing the product and delivering a beta version of the DML Algo Marketplace 😍
“The ecosystem is designed in ways that will make the predictions very precise. There will be an algorithm to answer every question.”
Team & Advisors ⭐- 9/10
The core team has years of blockchain development experience and deep technical skills. Victor Cheung is a blockchain developer who founded two previous technology companies and has an MSc in Computer Science from HKU.
Jacky Chan, Blockchain and Software Developer, has been a founding engineer at Kyokan Labs as well as a key contributor to Metamask and DFINITY with previous experience as a software developer at Uber.
The advisors for the Decentralized Machine Learning ICO include 4 experts in the AI field and 2 in the blockchain. They include Michael Edesess, PhD in Pure Mathematics and columnist of MarketWatch. Kyle Wong is one of the machine learning advisers with a PhD from Cornell University in Applied Physics as well as a Fintech Certificate from MIT. Steven Cody Reynolds, a blockchain advisor, helped grow Binance by 7000% as well as advises HybridBlock.
Roadmap ⛳- 9/10
May 2017: Development of Proof of Concept
Q1, 2018: Release of DML Protocol Gen 0 Prototype
Q2, 2018: Launch of DML Protocol Gen 0 (DML Algo Marketplace) Beta
Q3, 2018: Release of DML Protocol Gen 1 alpha
Q4, 2018: Release of customized state channels for increasing DML scalability
2019: Release of DML Protocol Gen 2 and 3
Competitors 💪- 9/10
There are no direct competitors although Endor is also in the same space of predictive intelligence with machine learning and AI.
Token Metrics – 9/10
ICO Hardcap: 28000 ETH
Total tokens: 330,000,000 tokens
ICO Token sale %: 36%
Our Bonus: 30%😍🤑
Verdict – 88% 🔥
DML is far ahead of many competitors by already releasing a working prototype. The big data analytics market valuation is estimated to reach $200 billion by 2020. The hype behind machine learning and AI is incredible and this will only fuel the interest in such companies. Therefore we are very bullish on this project! The low market cap also makes the token metrics extremely attractive!
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