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How a Machining Learning Platform Delivers Transparency to Crypto Investors [INTERVIEW]

Following the ICO fervor of 2017, investing in decentralized projects has become a highly cautious endeavor requiring immense scrutiny and research to avoid fraud. Integrating blockchain and machine learning, Decentralized Analysis System (DAS) aims to resolve the lack of transparency within the blockchain industry through a tokenized database powered by its users. дальше »

2018-10-17 10:00


Berkeley Professor Questions Stablecoin Viability in Unflattering Op-Ed

University of Berkeley Professor Barry Eichengreen has taken a swipe at the viability of stablecoins in an op-ed published on Project Syndicate. The critique, entitled “The Stable-Coin Myth,” argues stablecoins are not automatically "viable" just because they are pegged to an asset, though Eichengreen does believe they have an advantage over "conventional cryptocurrencies" such as bitcoin which he says "is highly unstable" and "unattractive as units of account. дальше »

2018-9-13 18:07


Researchers from Cortex Labs Win Numerous International AI Competitions

Cortex is a new project that is working towards creating and integrating efficient AI systems with blockchain technologies. By combining the efficiency of machine learning algorithms and autonomous decision-making with the transparency, security, and privacy of the blockchain, researchers at Cortex Labs are working in an exciting new area of exploratory blockchain development and hope […] The post Researchers from Cortex Labs Win Numerous International AI Competitions appeared first on Ethereum World News. дальше »

2018-8-9 18:45