Topic: [ANN] Decentralized Machine Learning - page 100. (Read 6229 times)

combining two concepts together but I can't image how it will be used by everyone

A friend told me. He has been following this for a long time and advised me to try it.
Now I'm studying all the information.

Hey. Yes, of course you can. How did you find out about the project?

Hello. Is the project already operational? Can I take part?

As much as I know there currently 308 projects running their ICOs. Too many I think, but this one is worth our attention, I assume

The team is really very big. Let's not forget that all employees need to pay, but the project itself is not that big.

Verdict
DML is far ahead of many competitors by already releasing a working prototype. The international data corporation predicts the machine learning industries revenue will reach over $210 billion USD by 2020. Many technological leaders including Google, Facebook, Amazon and Microsoft have already made great advances in the machine learning industry. Decentralizing the machine learning and algorithm writing processes will exponentially grow the market and allow companies to have access to powerful algorithms that they themselves would have spent millions and years developing alone. DML has the potential to open up the world of machine learning in an open source ecosystem and help companies and individuals innovate at a much faster rate. In doing so, this could lead to greater advances in technology, more tech startups as well as fuel existing companies’ innovation.

Risks
    DML already has a working prototype and is in the process of building an open source machine learning community, but there are already tech giants innovating in the same space. Competition is strong in this space.  -1.25
    In looking at the token distribution, only 2.5% of the total is allocated to PR and Marketing partners. In such a competitive space this might not be enough to make a lasting impact, especially considering Google’s recent ban on all crypto ads. -1.0
    Company adoption and community involvement will be required to grow the DML ecosystem. Some of the tech giant competitors could open their tech as a marketplace as well to compete. Once again, this puts DML at a competitive disadvantage. -1.0

Growth Opportunities
    The machine learning industry is growing at an incredible pace and will potentially reach #210 billion USD by 2020. This growth will fuel startups as well as accelerate innovation. DML is primed to capitalize.+2.5
    The DML team is stacked with many very qualified individuals that can implement the required technology for this complex of a company. If you are investing in a company, look to its people for clues about its future direction. In that case, DML has a strong value proposition. +4
    In addition to a strong core team, the advisers retained on this project are top executives and professionals in their field. Together, they’ve helped DML releas a working prototype. +4

Disposition
DML has already released a prototype and has first mover advantage in decentralizing machine learning with an open source ecosystem. Many businesses’ will benefit from the DML algorithm marketplace and be able to take advantage of technology and innovation they may not have been able to develop within their company. The hype behind machine learning and AI is incredible and this will only fuel the interest in companies such as DML. With the demand for this technology and the strength of the team and advisors, DML receives a 7.25 out of 10.

Its  a very good score from the hacked.com
Proof: https://hacked.com/ico-analysis-decentralized-machine-learning-dml/

sounds interesting. Good luck!

It has a huge team and a promising project. I wish all members and investors good luck

Machine learning is a very promising technology and this project has chosen a very interesting field

It seems to me now too soon to talk about this. First, you need to wait for the release of the platform. Rather, the release of the first revision of the beta version of this. And only then when all this starts to function, we can talk about some profitability.

Highlights the DML infrastructure.Here all its functions: training the device on the device without removing the data, decoupling of innovation from the periphery, etc. Collect lot-et in the project and expected substantial returns.

If we are talking about rewards, then I would like to know what exactly amounts are being discussed.

Of course. If you make various calculations within this platform, then it will be rewarded. As in the case of mobile devices, so in the case of and with personal computers.

Yes, indeed you are right. In any case, because the work of spilling on a mobile device will somehow be encouraged, right?

Mobile devices are just a small part of a single whole system. On the one hand, it seems to you that the performance of 1 device is negligible, but from another 1,000,000 such devices can show an excellent result. This is the basis for the entire technology of decentralization.

Well, I did not know that mobile devices can show performance enough for such a large-scale network.

And you think not?
  In fact, now mobile devices, smart phones, tablets are really high-performance machines. And often, all this power is simply not involved in any way. It's a great chance to use this.

But can mobile devices show really good performance to really benefit the whole network?

Yes, mobile devices can also be connected to a common system and they can also perform calculations. this possibility is provided by the team, yes.