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Wizebit is proud to welcome Machine Learning guru Peter Morgan to its elite team of blockchain specialists and developers.

Peter is the author of the popular report, “Machine Learning is Changing the Rules: Ways Businesses Can Utilize AI to Innovate”, and brings years of real world experience designing, building, and implementing AI and IP networks for Cisco, IBM, and BT Labs.

As the first company to create a confidential smart assistant on the blockchain, Wizebit officially launched in 2018 with the mission of allowing personal data to be connected while remaining protected.

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Outside John Snow Pub, arguably one of the best pubs to visit on a rainy November day in Soho, London, I was having a beer with my dear friend Alex, discussing tech and cryptocurrency like we always do. The thing that struck me the most from the conversation that Alex brought up was the technical challenges of Mars to have its own blockchain due to speed of light delays between Earth and Mars. It took me on a little journey of determining what might a blockchain on Mars look like, what are the challenges brought upon by speed of light and other factors, and how to push forward the efforts of colonizing the Red Planet.

The past few years and especially 2017 have brought cryptocurrency to the mainstream. Everyone and their grandmother can be seen at one point asking around “How can one buy bitcoin?” and “Would you buy Ripple?” among other questions. Every day, someone armed with a badly-edited whitepaper (a paper outlining how the technology works) will raise millions of dollars in Initial Coin Offerings, or ICOs (the cryptocurrency version of a stock market IPO). By now, one can see that, while 99% of the coins will probably fail due to bad planning, overpromised marketing, or because of their scammy nature, there is no doubt that the future of the cryptocurrency market is bright and it has a lot of room for growth.

The race to Mars is on going. SpaceX still is leading the efforts to allow humans for colonization of the Red Planet, most recently with their two simultaneous Falcon Heavy rocket landings.

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A security company wants to modernize the “backward-looking” and “inherently inefficient” video surveillance industry by offering a blockchain-based system which allows users to react to threats in real time.

Faceter’s decentralized surveillance technology – which it claims is a world first for consumers – “gives brains to cameras” by enabling them to instantly detect faces, objects and analyze video feeds. Although some B2B providers do offer similar features, the company claims they are currently too expensive for smaller firms and the public at large because of the “substantial computing resources” such technology needs.

According to Faceter’s white paper, Blockchain has the potential to make this solution affordable for everyone – as computing power for recognition calculations would be generated by a network of miners.

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Getting your head around cryptocurrencies was hard enough before governments got involved. But now that policy makers around the world are drawing up fresh regulations on everything from exchanges to initial coin offerings, keeping track of what’s legal has become just as daunting as figuring out which newfangled token might turn into the next Bitcoin.

The rules can vary wildly by country, given a lack of global coordination among authorities. And while that may change after finance chiefs discuss digital assets at the Group of 20 meeting in Buenos Aires this week, for the time being there’s a wide range of opinions on how best to regulate the space. Below is a rundown of what major countries are doing now.

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It has no inherent value and causes observers to rotate between feelings of fascination and anger. We’re talking about cryptocurrency, but also art. In a new series, artist Andy Bauch is bringing the two subjects together with works that use abstract patterns constructed in Lego bricks. Each piece visually represents the private key to a crypto-wallet, and anyone can steal that digital cash—if you can decode them.

Bauch first started playing around with cryptocurrencies in 2013 and told us in an interview that he considers himself an enthusiast but not a “rabid promoter” of the technology. “I wasn’t smart enough to buy enough to have fuck-you money,” he said. In 2016, he started to integrate his Bitcoin interest with his art practice.

His latest series of work, New Money, opens at LA’s Castelli Art Space on Friday. Bauch says that each piece in the series “is a secret key to various types of cryptocurrency.” He bought various amounts of Bitcoin, Litecoin, and other alt-coins in 2016 and put them in different digital wallets. Each wallet is encrypted with a private key that consists of a string of letters and numbers. That key was initially fed into an algorithm to generate a pattern. Then Bauch tweaked the algorithm here and there to get it to spit out an image that appealed to him. After finalizing the works, he’s rigorously tested them in reverse to ensure that they do, indeed, give you the right private key when processed through his formula.

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On the Right Track

In the final analysis, while IBM clearly has more work to do, it’s on the right track. Its investments in cloud and AI are already paying off, while blockchain and quantum computing bets are looking promising.

Furthermore, while IBM’s progress overall is clearly a massive team effort, Big Blue’s execution is due in large part to Rometty’s six years of leadership.

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Pharma and biotech companies spend billions of dollars each year to acquire genomic data. Scientists need large genomic datasets to identify causes of disease and develop cures. However, growth of the genomic data market is hindered by small data quantities, data fragmentation, lack of data standardization and slow data acquisition.

Nebula Genomics will leverage blockchain technology to eliminate the middleman and empower people to own their personal genomic data. This will effectively lower sequencing costs and enhance data privacy, resulting in growth of genomic data. Our open protocol will leverage the genomic data growth by enabling data buyers to efficiently aggregate standardized data from many individuals and genomic databanks.

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