scynet.ai | ScyNet | Decentralized computing power for Automated Machine

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Title	ScyNet \| Decentralized computing power for Automated Machine
Description	Team Papers GitHub Blog Decentralized computing power for Automated Machine Learning An open-sourced network for self-improving AI models ; AutoMLs alread
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WebSite	scynet.ai
Host IP	35.214.151.140
Location	United States

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scynet.ai Valuation

US$757,629

Last updated: 2023-05-09 23:38:05

scynet.ai has Semrush global rank of 13,970,316. scynet.ai has an estimated worth of US$ 757,629, based on its estimated Ads revenue. scynet.ai receives approximately 87,419 unique visitors each day. Its web server is located in United States, with IP address 35.214.151.140. According to SiteAdvisor, scynet.ai is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$757,629
Daily Ads Revenue	US$700
Monthly Ads Revenue	US$20,981
Yearly Ads Revenue	US$251,766
Daily Unique Visitors	5,828
Note: All traffic and earnings values are estimates.

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HtmlToTextCheckTime:2023-05-09 23:38:05

Team Papers GitHub Blog Decentralized computing power for Automated Machine Learning An open-sourced network for self-improving AI models ; AutoMLs already outperform the best human researches in creating deep neural networks. But there’s a catch. To autonomously produce effective AI solutions, AutoMLs need vast amounts of computing power. This makes the technology viable mostly to enterprises with significant access to the required resources, making smaller AI-based ventures dependable on a single service. We are building efficient access to the resources the modern approach to AI so desperately requires. ScyNet is a blockchain protocol and open economic system. It rewards computing nodes for sharing resources in a decentralized network. AI ventures that configure their own AutoML nodes on the system are able to engage with the GPU power to test and improve their models. VIEW GITHUB The autonomous cycle of improving AI models ScyNet allows private ventures to setup AutoML nodes and

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scynet.ai valuation and analysis