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ConvNetQuake is the first neural network designed to detect and locate earthquakes using seismograms. In a study of earthquake activity in Oklahoma, the system detected 17 times more earthquakes
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Halitrephes maasi is a species of deep sea hydrozoan of the family Halicreatidae, found at a depth of 4,000-5,000 feet near the Revillagigedo Archipelago off Baja California, Mexico
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Do you like our round-videos? should we post them sometimes?
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πŸ‘₯ 1181 people voted so far.
Well, about roud videos... We will post them, not often, but we will, like this one,

- video showing Laminar Flow and demonstrating fluid flowing in layers. Very cool! Filmed at the University of New Mexico - Physics Department. This apparatus was developed by John DeMoss and Kevin Cahill of the Department of Physics & Astronomy.

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Last video for today, sorry for posting them so often, but this one is reaaly cool,

The CRISPR-Cas9 system has revolutionised gene-editing, but cutting DNA isn’t all it can do. From turning gene expression on and off to fluorescently tagging particular sequences, this animation explores some of the exciting possibilities of CRISPR.
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Science in telegram pinned Β«15 minutes to start: https://www.youtube.com/watch?v=THy23SyC_Y0Β»
Companies Race to Dominate the World of Maps for Driverless Cars
Autonomous vehicles will need highly sophisticated maps in order to navigate our road networks. Companies are racing to find the best way to design them.
Self-driving cars are on the horizon, but the technology requires sophisticated maps to ensure that vehicles can navigate the roads safely. Right now, industry leaders are at work to ensure that Google β€” currently ahead of the pack with its Google Maps service β€” doesn’t snatch the biggest slice of the pie.

The maps that autonomous vehicles will use to navigate the roads need to be much more sophisticated than Google’s current offering. A self-driving car needs more information than a human driver or a pedestrian, so various sensors and high-definition cameras are being used to chart the country’s highways and byways.
According to Bloomberg, Google is working on a 3D mapping project that would capture the landscape of hazards that a vehicle may face in much greater detail. The project goes way beyond what’s currently available via Google Maps, but it’s also distinct from the high-definition maps being created by Alphabet subsidiary Waymo.

Maps for self-driving cars will also need to be updated far more frequently. It’s crucial that vehicles know about new roads and temporary obstacles like construction projects, so that they’re not taken by surprise by an unexpected change. Companies like MapBox – which signed a deal with Tesla last year, as per Electrek – consult user data in order to update their maps.

As self-driving technology continues to evolve, we’ll get a better idea of the specific information these vehicles need in order to operate, and the best method of producing the required maps.

However, it’s clear that whoever emerges as the go-to supplier of maps for autonomous vehicles stands to make a lot of money. If self-driving cars take off as they’re expected to, the automotive industry will be reliant on these maps for the foreseeable future, so competition is set to be fierce.