What’s the Deal Behind Real-World Tasks to Earn Tokens? #MiningLite
By Christina Pan — VP of Marketing@TuringNet
Sign-up to become our beta tester and receive a multiplier for accelerated token earning!
TuringNet is taking a revolutionary approach on how the public participates in scalable and collaborative AI model training and prediction. The platform aims to significantly reduce duplicated model training and fully utilize idle computing resources in a collective manner, at the same time ensuring data security. We will be lowering the entry barriers of both mining and AI development for the public to participate, crowdsourcing the wisdom and resources needed to revolutionize the AI industry.
AI Empowered by Beauty Camera, Or the Other Way Around?
Our community members can participate and earn TNET tokens by completing various light mining tasks, in this article, we are going to introduce one of the scenarios where you get to refine your own picture on our product, and earn tokens at the same time.
Refine your selfies, and earn tokens?
If we are asked to make a list of all things that we do on a regular day, taking selfies is certainly to be featured on the top list for most of us. Thanks to social media, it is one thing that we are all almost obsessed with. Who can deny the fact that a good selfie boosts our endorphins and makes us feel great about ourselves? Each time we dress up or hang around with our friends, it is almost obligatory to take that selfie. With so much craze around, TuringNet had figured out a way to intelligently blend one of our mining tasks into the selfie or photo beautification technologies to get better pictures and capture ‘the prettier you.’
Now what if you can simply upload a selfie into our upcoming app, use our special features to beautify your selfie, and at the same time improve the AI algorithm that we use behind the scene to receive TNET tokens in return for your valuable contribution?
How does beauty apps benefit from AI?
The biggest difference between TuringNet’s AI beauty app and the traditional beauty camera app is that the former uses the AI technology that are fostered in a decentralized and self-governing ecosystem, and was refined by all. It can not only apply the latest AI algorithms to identify various scenes, make corresponding scene optimization, but also recognize and identify faces and apply different beauty effects to your face. The basis of the beauty algorithm is the face recognition technology. The facial area and facial expressions in each picture vary. They need to have different algorithms to come up with the best optimization for each different area. We use facial recognition AI technology to identify faces, and label different areas of the faces, and then calculate to output better and enhanced images. The traditional method of segmenting the skin has a much lower accuracy rate, usually below 80%, and deep learning is able to increase the accuracy rate to 98.5%.
TuringNet AI Beauty App is a decentralized digital image processing technique that improves image quality by using machine vision to identify the content of an image. It’s about taking studio effects that you achieve with Lightroom and Photoshop and making them accessible to people at the click of a button. So you’re able to smooth the skin and get rid of blemishes, but not just by blurring it — you also get texture.
In the past, the technology behind ‘smooth skin’ and ‘beauty’ modes has essentially been about blurring the image to hide imperfections. Now it’s about creating looks that are believable, and AI plays a key role in that. For example, we use AI to train algorithms about the features of people’s faces. And by contributing your selfies, using our crowdsourced AI models to refine your images, you are empowering the community to work together for the improvement of AI. Our novel consensus mechanism — Learning BFT (LBFT) is designed to ensure that every participant on our platform receives a fair share of rewards based on their contributions.
Sign-up to become our beta tester and receive a multiplier for accelerated token earning!
Would you like to start participating in the next generation of AI development? Would you like to start earning and have fun playing with our app to capture a prettier you? You’ve came to the right place. AI technology can only be advanced with the public’s active participation, and with the enabling a crowdsourced AI model for facial recognition, TuringNet will be pushing forward one big step of truly democratize AI ecosystem.
We are fiercely developing the beauty App, bundled with a wallet for ETH and ERC20 tokens and assets in the backend, TuringNet aims to provide you a seamless experience to mining tokens in real-time, in real-world, for your real needs.
Our targeted launch for the test version of TuringNet’s Beauty app will be around end of September. Selected community members will have the opportunity to test our TuringNet Beauty Camera beta version, although the tokens earned from the beta version are not tokens convertible to real money, we have multiple rules for our beta test users to benefit from contributing their time and work during test times. The more test tokens that you accumulate, the faster you will be able to earn tokens after our alpha launch for real mining. Please stay tuned for detailed instructions in the next couple weeks on how to get things started!
About TuringNet — World’s First Open and Trustable Platform
One of the key bottlenecks in the AI industry has been caused by lack of trust, TuringNet is the world’s first open and trustable Artificial Intelligence platform to solve this problem. Our patent-pending technologies are designed to empower a self-governing ecosystem that develops verifiable and trustable AI models. Our novel tokenomics model #CommunityMiningOffering incentivizes the public to participate in scalable and collaborative model training and prediction. The open platform will significantly lower the entry barriers for enterprises to adopt AI. Also, our verifiable and decentralized model (DModel) opens endless possibilities for AI to be applicable to various scenarios, including the improvement of the blockchain technology itself.
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https://t.me/turingnet
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Blog:
https://www.medium.com/turingnet
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https://github.com/turingnet
Website:
www.TuringNet.com
