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Another state is looking at propelling people through tubes at 670 mph

Another state — this time North Carolina — has been enticed by the idea of hyperloop, the futuristic and still theoretical transit platform that will shuttle people and packages at speeds of up to 670 miles per hour between cities. Virgin Hyperloop One and The announcement follows a few milestones for VHO, including a recent demonstration in Washington, D.C. and the funding of NETT, or the Non traditional & Emerging Transportation Technologies Council, which will research and fund hyperloop nationally. VHO raised $172 million in May. The company also has…

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Argo AI acquires permit to test autonomous vehicles in California

Argo AI, the self-driving car startup that burst onto the scene in 2017 with $1 billion in backing from Ford, has obtained a permit to test its autonomous vehicles in California. The permit, issued by the California Department of Motor Vehicles, is for one vehicle and two drivers. Unlike other self-driving car companies, California isn’t the first, or even third, market where Argo AI is testing its tech. The company, founded by former Google self-driving project veteran Bryan Salesky and Uber Advanced Technologies Group’s former engineering lead Peter Rander, has…

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IBM makes 20 qubit quantum computing machine available as a cloud service

IBM has been offering quantum computing as a cloud service since last year when it came out with a 5 qubit version of the advanced computers. Today, the company announced that it’s releasing 20-qubit quantum computers, quite a leap in just 18 months. A qubit is a single unit of quantum information. The company also announced that IBM researchers had successfully built a 50 qubit prototype, which is the next milestone for quantum computing, but it’s unclear when we will see this commercially available. While the earliest versions of IBM’s…

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H2O.ais Driverless AI automates machine learning for businesses

Driverless AI is the latest product from H2O.ai aimed at lowering the barrier to making data science work in a corporate context. The tool assists non-technical employees with preparing data, calibrating parameters and determining the optimal algorithms for tackling specific business problems with machine learning. At the research level, machine learning problems are complex and unpredictable combining GANs and reinforcement learning in a never before seen use case takes finesse. But the reality is that a lot of corporates today use machine learning for relatively predictable problems evaluating default rates…

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