Blockchain Start-Up “Colu” released Dashboard and Sandbox API

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Colu recently released two new updates to help new users create more innovative blockchainsolutions. The Colu Dashboard aims to be the central location for viewing and managing digitalassets. The Sandbox API aims to enable users to quickly test code and view results. Amos Meiri, co-founder of Colu, began exploring blockchain technology while still working atFinancial Services Giant E-Torro back in 2012. Amos began interacting with the blockchaincommunity early on, to help develop a new way to transfer assets over the blockchain. After putting in months of effort and over $100,000 of investment through E-Torro, Amos and his co-founders David & Mark turned their focus to enabling developers to transfer value over the blockchain. This focus led them to found Colu, which since it’s launch 5 months ago has already enabled over 20 use-cases. Amos Meiri, co-founder of Colu said: “As a team, we found that working with the blockchain was extremely difficult for those just starting out. Therefore, we felt starting a platform, which would make it easier for developers to issue assets on the blockchain was vital.” The use-cases enabled by Colu are wide-ranging, from decentralized voting platform in theHonduras Island “Voto-Social” to secure product warranties on the blockchain, …

Blockchain-Based Credit Score Coming in 2016, forecasts Yandex, the 4th largest search engine worldwide

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Banks may start applying blockchain technology tocredit scores in 2016. Such an assumption was expressed by 4th largest search engine worldwide and the most popular website in Russia,Yandex, CTO Grigory Bakunov during his lecture about the main trends of 2016. If applied, the blockchain will make scoring much easier and faster. The growing possibilities of artificial intelligence allow the building of wide networks able to gather authentic information about any user based on his/her accounts in social networks and other sources. Furthermore, they are able to process huge volumes of information, making the process of credit scoring much faster. The only problem is that they often used algorithms that are unexplainable in any human language. Grigory Bakunov states: “Artificial intellect often divides people into clusters using algorithms which are difficult to explain in human language. And that may be a problem because people often come to a bank asking why they can’t have a loan. And you’ll definitely owe them an explanation”. However, the development of artificial intelligence is fast enough. It is probable that soon enough it will be able to explain its own actions. And that’s why Bakunov assumes it to be a good platform to apply the …