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El dominio de los titanes tecnológicos en el panorama actual del aprendizaje automático ha conducido a la falta de competitividad y la asignación desigual de recursos. DML devuelve la autonomía del aprendizaje automático y los datos a las personas mediante la descentralización de los datos, el poder de procesamiento y el desarrollo de algoritmos en una infraestructura de fuente abierta y un ecosistema.
La infraestructura DML aplicará el aprendizaje automático en el dispositivo, la cadena de bloques y las tecnologías de aprendizaje federadas. Desencadena el uso de datos sin explotar sin la extracción y la capacidad de procesamiento inactivo para el aprendizaje automático. Los algoritmos se agruparán en una comunidad de desarrolladores a través del mercado, dando como resultado la innovación desde la periferia.
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Verificado 0%
Atención. Existe el riesgo de que los miembros no verificados no sean realmente miembros del equipo
Verificado 0%
Atención. Existe el riesgo de que los miembros no verificados no sean realmente miembros del equipo
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.
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.
Decentralized machine learning. Looks good. need proof of care to get higher allocations
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.
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.
