Abstract
Artificial Intelligence (AI) happens to be the next big thing. Artificial Intelligence deals with data. Datasets used for machine learning are still labeled by hand, which requires a lot of effort. This creates a lot of friction: labeling quality is not guaranteed, and the initial source data is not secured. Dbrain allows people to work together in secure, seamless, integrated processes for buying, designing, and building AI apps, from start to finish.
Dbrain is a blockchain platform to collectively build AI Apps.it is an open blockchain platform that links Crowdworkers and data scientists and enables them to transform raw data into real-world Artificial intelligence solutions. Crowdworkers do simple tasks of data labelling and validation and are paid instantly in cryptocurrency for their work. Data scientists use the resulting datasets to train Neural Networks (NN) and build AI apps. Businesses use existing AI solutions or specify new ones to serve their particular needs. Dbrain automates AI production and data workflow by providing efficient tools to all parties, including a web application, a Telegram bot, and a mobile app.
Advantage of Dbrain
• High-quality datasets: Dbrain guarantees quality of datasets without any work duplication. To align the incentives for Crowdworkers, validators, AI developers, and data owners, Dbrain implements the Subjective Proof of Crowdwork Protocol (SPOCK), which validates data quality automatically and guarantees real-time, fair, transparent billing to workers and data owners.
• Security and trust: Dbrain protects data owners’ interests and prevents leaks at all stages of AI app development. No matter who uploads data on the platform, the Protocol for Indirect Controlled Access to Repository Data (PICARD) protects datasets and AI apps hosted on the platform. The protocol guarantees security and trust in the Dbrain community with regards to data access control and reward distribution.
Product:
The Dbrain web application integrated with Ethereum (DApp) allows every Internet user to perform tasks, earn Crypto and withdraw it with a single click. Telegram bot for simple data labeling and task validation gives us access to crowdworker audience with the least imaginable friction. Our upcoming mobile app will provide user interface for complex tasks on smartphones and tablets and allow to collect custom data from crowdworkers.
Web application:
The Dbrain web application integrated with Ethereum (DApp) provides an intuitive tool for data labeling and validation tasks for crowdworkers. The complex user interface allows Crowdworkers to perform advanced tasks, such as image labeling for classification and regression, object annotation with bounding boxes and segmentation masks.
Telegram bot:
The Telegram Bot is ideal for simple image labeling and validation tasks. Anyone with the internet connected device can label data and get paid instantly with Dbraincoins. Smartphones are more accessible and widespread in developing countries than laptops, while internet penetration is high, which gives us an edge in accessing workers in those regions. With the Telegram bot, we reach millions of unbanked people to give them an income stream in Crypto.
Mobile application (Coming soon): Mobile apps are a great tool to create new data — video, audio, photos, acceleration, GPS coordinates and touch input. Our app will allow any platform user to become a data provider and earn additional Dbraincoins
Use cases:
Image recognition: Image recognition (including classification and tagging) is one of the most commonly applied AI use cases today Image recognition is an area that is developing rapidly and that will have a major impact on the consumer, automotive, advertising, healthcare, defense, media, and entertainment industries
The Dbrain team launched a successful AI application for content creation in e-commerce in 2016. We reduced the cost of processing one image from 10-100 US cents to a fraction of a penny by using a deep learning network, thus saving millions of dollars for one of the biggest e-commerce marketplaces.
Video surveillance
Labeled data are essential for implementing AI surveillance. Many AI developers will create AI algorithms for effective surveillance systems using our platform. Surveillance companies will upload videos from surveillance cameras onto the Dbrain platform. Crowdworkers will detect and tag unusual videos and send them to the neural network. After that, the trained model will become better at detecting emergencies, fights, robberies, and similar activities.
Medical data processing
One of the most important AI use cases is cancer detection. Deep learning models can assist pathologists in this task. A pathologist’s report serves as a basis for diagnosing many diseases. Despite the fact that pathologists study for many years in order to improve their cancer prediction skills, even today AI can detect cancer with higher accuracy than doctors can. Like in all AI models, more and better data are needed in order to improve its performance.
Pathologists do not have a platform for data exchange on cancer detection and on many other illnesses. Dbrain will create a protocol for exchanging data between all parties concerned in different countries, with different legal restrictions.
Team:
• Dmitry Matskevich, Chief Executive Officer: Serial entrepreneur, data geek. Founded
2 leading Big Data companies. Sold Flocktory, a B2B AI startup, for $20M in 2017
• Aleksey Hahunov, Chief Technical Officer: Founder of connectome.ai and R-SEPT.
3+ years in managing R&D teams in IT/AI
• Dima Dewinn, Chief Design Officer: Designer, founder and CEO of Thngs, 12+ years in visual storytelling and product development.
Verdict:
Dbrain is the appropriate method to make AI learn through the data receive from the common users which in turn gives them cryptocurrencies.
Though the overall concept is good, but they don’t have any prototype for this project. Even the partners mentioned are not clear. Which can create confusions in the mind of the users.
According to me it is to early to judge upon this project. One should take more time to understand the technology as things are a bit messy.
Token matrices
• Sale start date: 08:00 PM (UTC) March 15
• Sale end date: 08:00 PM (UTC) May 31
• Token: DBR
• Price 1 DBR: 2 USD
• Bounty: Available
• Platform: Ethereum
• Accepting: ETH, BTC
• Soft cap: 5,000,000 USD
• Hard cap: 40,000,000 USD
• Country: Russia
• Whitelist/KYC: KYC & Whitelist
Websites:
• Official site: https://dbrain.io/
• Twitter: https://twitter.com/dbrainio
• Facebook: https://www.facebook.com/dbrainio
• Whitepaper: https://whitepaper.dbrain.io/
