Technically Feasible Huge Next Generation Space Station 0 310

Technically Feasible Huge Next Generation Space Station

Technically Feasible Huge Next Generation Space Station

Brian Wang |
August 23, 2019 |

The Goal of Gateway Foundation Von Braun Station is to build a dual-use station that is economically self-sustaining.

This space station would have 11 million cubic meters of pressurized volume versus 931 meters for the International space station. This would be 12,000 times larger volume. It would be 488 meters in diameter. It would have 1.6 times the diameter of the largest stadium dome (300 meters in diameter) in the world which is a sports stadium in Singapore.

It will have the volume of about 20 of the largest cruise ships.

The space station would spin like the space station in 2001. It would generate its own gravity. It would be designed to very comfortably hold 1500 staff and guests.

They have created a technically feasible engineering design. Von Braun Station creation will also form a space construction industry with bots, pods, drones, construction arms, new space suits, and large-scale truss building machines designed for building large structures in space.

This video, and the ones that will follow, were made for NASA and other aerospace engineers to see that this is a technically feasible design, with a solid business plan, that will allow NASA and other space agencies to buy, rent, or lease space on this station very affordably.

Later, when they have acquired the low-gravity data they need, they can move on to other projects with no binding financial ties.

We ask you all the same two questions:


1. Is this a good design?


2. Is the time right to build a rotating station to acquire valuable, low-gravity, human physiology data?

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Vayyar nabs $109M for its “4D” radar tech, which detects and tracks images while preserving privacy 0 4

Vayyar nabs $109M for its “4D” radar tech, which detects and tracks images while preserving privacy

The future of the connected home, connected car, and connected everything will have a lot of imaging technology at the center of it: sensors to track the movement of people and things will be a critical way for AI brains to figure out what to do next. Now, with a large swing towards more data protection — in part a reaction to the realization of just how much information about us is being picked up — we’re starting to see some interesting solutions emerge that can still provide that imaging piece, but with privacy in mind. Today one of the startups building such solutions is announcing a big round of funding.

Vayyar, an Israeli startup that builds radar-imaging chips and sensors as well as the software that reads and interprets the resulting images which is used in automotive and IoT applications (among others) — providing accurate information about what is going on a specific place, even if it’s behind a wall or another object, but without the kind of granular detail that would actually be able to personally identify someone — has picked up $109 million, money that it will use to expand the range of applications that it can cover and to double down on key markets like the US and China.

From what I understand from sources close to the deal, this round is being done at a valuation “north” of $600 million, which is a big step up on the company’s valuation in its C-round in 2017, which was at around $245 million post-money, according to PitchBook data.

Part of the reason for the big multiple is because the company already has a number of big customers on its books, including the giant automotive supplier Valeo and what Raviv Melamed — Vayyar’s co-founder, CEO and chairman — described to me as a “major Silicon Valley company” working on using Vayyar’s technology in its smart home business.

I was going to write that the funding is notable for the large size, but it feels these days that $100 million is the new $50 million (which is to say, it’s becoming a lot more common to raise so much). What’s perhaps more notable is the source of the funding. The Series D is being led by Koch Disruptive Technologies, with Regal Four and existing investors including Battery Ventures, Bessemer Ventures, ICV, ITI, WRVI Capital, Claltech all also participating. The total raised by the startup now stands at $188 million.

Koch Disruptive Technologies is the venture arm of Koch Industries, the multinational giant that works across a range of oil and gas, manufacturing, ranching and other industries. It’s founded by the Koch brothers, Charles and the late David, who are mostly known in popular culture for their strong support of right-wing politicians, businesses and causes. It’s an image that hasn’t really helped the VC arm and its partners seem to be trying to downplay it these days.

Putting that to one side, the Vayyar investment has a lot of potential applicability across the many industries where Koch has holdings.

“Advancements in imaging sensors are vital as technology continues to disrupt all aspects of society,” said Chase Koch, president of Koch Disruptive Technologies. “We see incredible potential in combining Vayyar’s innovative technology and principled leadership team with Koch’s global reach and capabilities to create breakthroughs in a wide range of industries.”

Over the last several years, the startup has indeed been working on a number of ways of applying its technology on behalf of clients, who in turn develop ways of productising it. There are a few exceptions where Vayyar itself has built ways of using its tech in direct consumer products: for example, the Walabot, a hand-held sensor that works in conjunction with a normal smartphone to give people the ability to, say, detect if a pipe is leaking behind a wall.

But for the most part, Melamed says that its focus has been on building technology for others to use. These have, for example, included in-car imaging sensors that can detect who is sitting where and what is going on inside the vehicle, useful for example for making sure that no one is dangerously blocking an airbag, or accidentally setting off a seatbelt alarm when not actually in a seat, or (in the case of a sleeping baby) being left behind on accident creating potentially dire outcomes.

Regulations will make having better safety detection a must over time, Melamed noted, and more immediately, “By 2022-2023 it will be a must for all new cars to be able to detect [the presence of babies getting left behind when you leave the car] if you want to have a five-star safety rating.”

The focus (no pun intended) on privacy is a somewhat secondary side-effect of what Vayyar has built to date, but that same swing of regulation is likely to continue to put it into the fore, and make it as much of a feature as the imaging detection itself.

Vayyar is not the only company using radar to build up better imaging intelligence: Entropix, Photonic Vision, Noitom Technology and Aquifi and ADI are among the many companies also building imaging solutions based on the same kind of technology. Melamed says that this is where the company’s software and algorithms help it to stand out.

“I think when you look at what we have developed for example for cars, these guys are far behind and it will take some time to close the gap,” he added.

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Google makes converting VMs to containers easier with the GA of Migrate for Anthos 0 5

Google makes converting VMs to containers easier with the GA of Migrate for Anthos

At its Cloud Next event in London, Google today announced a number of product updates around its managed Anthos platform, as well as Apigee and its Cloud Code tools for building modern applications that can then be deployed to Google Cloud or any Kubernetes cluster.

Anthos is one of the most important recent launches for Google, as it expands the company’s reach outside of Google Cloud and into its customers’ data centers and, increasingly, edge deployments. At today’s event, the company announced that it is taking Anthos Migrate out of beta and into general availability. The overall idea behind Migrate is that it allows enterprises to take their existing, VM-based workloads and convert them into containers. Those machines could come from on-prem environments, AWS, Azure or Google’s Compute Engine, and — once converted — can then run in Anthos GKE, the Kubernetes service that’s part of the platform.

“That really helps customers think about a leapfrog strategy, where they can maintain the existing VMs but benefit from the operational model of Kubernetes,” Google Engineering Director Jennifer Lin told me. “So even though you may not get all of the benefits of a cloud-native container day one, what you do get is consistency in the operational paradigm.”

As for Anthos itself, Lin tells me that Google is seeing some good momentum. The company is highlighting a number of customers at today’s event, including Germany’s Kaeser Kompressoren and Turkey’s Denizbank.

Lin noted that a lot of financial institutions are interested in Anthos. “A lot of the need to do data-driven applications, that’s where Kubernetes has really hit that sweet spot because now you have a number of distributed datasets and you need to put a web or mobile front end on [them],” she explained. “You can’t do it as a monolithic app, you really do need to tap into a number of datasets — you need to do real-time analytics and then present it through a web or mobile front end. This really is a sweet spot for us.”

Also new today is the general availability of Cloud Code, Google’s set of extensions for IDEs like Visual Studio Code and IntelliJ that helps developers build, deploy and debug their cloud-native applications more quickly. The idea, here, of course, is to remove friction from building containers and deploying them to Kubernetes.

In addition, Apigee hybrid is now also generally available. This tool makes it easier for developers and operators to manage their APIs across hybrid and multi-cloud environments, a challenge that is becoming increasingly common for enterprises. This makes it easier to deploy Apigee’s API runtimes in hybrid environments and still get the benefits of Apigees monitoring and analytics tools in the cloud. Apigee hybrid, of course, can also be deployed to Anthos.

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