Since Bitcoin’s introduction in 2009, there have been several attempts to include a decision-making process as part of the rules of a blockchain. This is called on-chain governance, a formalized way in which a group of people can make changes by voting through the protocol.
Last week, statements from Binance CEO Changpeng Zhao (aka CZ) and Ethereum co-creator Vitalik Buterin led the community to speculate on the possibility of the crypto market achieving a 1,000 return in value in the long-term.
As described in a paper published this week in the journal Nature, researchers from universities in the US and Italy used machine learning to train an algorithm to control a glider to navigate thermals.
The U.S. Securities and Exchange Commission (SEC) announced that it needed more time to make a decision regarding the VanEck-SolidX Bitcoin ETF, and it set 29 December 2018 as the new deadline.
Quantum computing is one of the most exciting technologies there is, but its basis in quantum physics makes it a pain in the ass to understand and even harder to do anything with. A recent breakthrough in physics research, however, might change all of that and start a computing revolution.
Regulators are discouraging trading in cryptocurrencies while they explore legislative frameworks. This is opening up economic space that smaller nations are looking to fill, by welcoming investments in cryptocurrencies, launching their own sovereign ones and steering clear of heavy-handed regulations. Success could transform them into cryptocurrency tax havens and safe spaces, and models for smaller economies of the future.
The Texas State Securities Board (TSSB) is taking emergency action against cryptocurrency scammers, peddling fake endorsements and posing as well-established blockchain services
In this video, Garry Kasparov supports the new OECD expert group on artificial intelligence, which brings together experts to discuss the policy angles for this game-changing technology https://www.oecd-forum.org/users/69563-garry-kasparov/posts/38969-garry-kasparov-endorses-new-oecd-expert-group-on-artificial-intelligence
Using real-time transcription overcomes this challenge, allowing businesses to capture the entirety of the conversation and take actions on it, for instance searching for keywords or terms. With this information in hand brands can hone in on what worked and what didn’t. Is there a messaging strategy that needs adjustment? How can we change our call scripts? And so on. https://www.nexmo.com/blog/2018/08/27/ai-contact-centers-bringing-real-time-intelligence-conversation/