Review on Qube by Fabrizio Zampieri
QUBE, an English company, is a security platform based on blockchain tecnology…
QUBE, an English company, is a security platform based on blockchain tecnology for vehicles. Launched in 2018 (ICO public-sale was held in february 2018), QUBE aims to use blockchain technology to improve the security of car mobile sector.
In QUBE there are still woking in progress, in fact he artificial intelligence layer will begin to be applied from 2019, and will be commercialized not before 2020.
Qube team develops quantum cryptography to prevent hacking attacks against autonomous and independent vehicles. This Cryptography technology will bring great benefits to both the autonomous drive and the entire blockchain technology.
Qube (QUBE) is an ERC20 token based on the Ethereum blockchain. Qube has a current supply of 1 billion QUBE (there isn't any info about QUBE in circulation).
QUBE is tradable on BigONE and Bit-Z exchanges.
Pros
- - In my opinion, QUBE is one of the most important project about security based on blockchain technology, applied to vehicles. - Founders team is working to an innovative independent vehicle security platform for automotive manufacturers and associated important firms. - Qube platform uses strategic technologies as blockchain, artificial intelligence and Quantum Hash Cryptography.
Cons
- - Official company website is not available in English version. - Whitepaper syntethic and available in Chinese language version. - QUBE must do a hard job to implement its services and technology (vehicles have a huge risk of being hacked). - Nowaday Qube wasn't a good investment: ROI -98,84% (the approximate return on investment if purchased at the time of launch). - Project still in early stages (launched in 2018).
New products
Comments (1)
October 27, 2020
QUBE intelligent quantitative analysis engine, the solution based on large-scale data processing and deep learning algorithm for data size reduction, noise removal, feature extraction, model training and so on, optimization and normalization for neural network quantitative factors, output to form the final. Its core is to process big data, including blockchain data, various trading platform data, network information and general sentiment data, and so on, ultimately model prediction and data measurement for various game behaviors of the cryptocurrency.
