BREAKING: Nearly 100 New Exoplanets Have Been Found in K2 Mission Data
Telegraph
BREAKING: Nearly 100 New Exoplanets Have Been Found in K2 Mission Data
The number of exoplanets has risen by almost 100, as an international team of astronomers confirms a new batch found in data captured as part of the K2 mission - the NASA Kepler telescope's new lease on life. They have been analysing the first batch of K2…
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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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MIT Physicists Have Constructed a Bizarre Form of 'Molecular' Light With 3 Photons
➖ @sciencetoall ➖
MIT Physicists Have Constructed a Bizarre Form of 'Molecular' Light With 3 Photons
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ScienceAlert
MIT Physicists Have Constructed a Bizarre Form of 'Molecular' Light With 3 Photons
Five years ago, physicists from Harvard and MIT achieved a world first by forcing a pair of photons to interact with one another in ways that shouldn't seem possible.
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A Mysterious Syndrome in Which Marijuana Users Become Violently Ill Is Worrying Researchers
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A Mysterious Syndrome in Which Marijuana Users Become Violently Ill Is Worrying Researchers
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ScienceAlert
A Mysterious Syndrome in Which Marijuana Users Become Violently Ill Is Worrying Researchers
Mrs. X knew something was wrong when she burned herself in the bath for the third time.
Do you like our round-videos? should we post them sometimes?
anonymous poll
Yep – 798
👍👍👍👍👍👍👍 68%
no – 383
👍👍👍 32%
👥 1181 people voted so far.
anonymous poll
Yep – 798
👍👍👍👍👍👍👍 68%
no – 383
👍👍👍 32%
👥 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.
@science
- 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.
@science
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.
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.
A Never-Before-Seen Structure in Human Sperm Could Explain How It Controls Its Swim
Telegraph
A Never-Before-Seen Structure in Human Sperm Could Explain How It Controls Its Swim
The sperm's tail is perhaps one of the most iconic structures among all of the cells in the human body, so it's odd to think there are still some things we don't know about it. It turns out there is a weird kind of helix right at the very tip of the tail…
Science in telegram pinned «15 minutes to start: https://www.youtube.com/watch?v=THy23SyC_Y0»
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Here's Why Jeff Bezos Is Building a Giant Mechanical Clock Designed to Last 10,000 Years
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Here's Why Jeff Bezos Is Building a Giant Mechanical Clock Designed to Last 10,000 Years
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ScienceAlert
Here's Why Jeff Bezos Is Building a Giant Mechanical Clock Designed to Last 10,000 Years
Here's something you might not know: Jeff Bezos – the founder of Amazon and rocket company Blue Origin – owns a mountain. Yep, an entire mountain in Texas.
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 — currently ahead of the pack with its Google Maps service — 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.
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 — currently ahead of the pack with its Google Maps service — 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.
Telegram
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Wormhole Entanglement and the Firewall Paradox
One hundred years after Albert Einstein developed his general theory of relativity, physicists are still stuck with perhaps the biggest incompatibility problem in the universe. The smoothly warped space-time landscape that Einstein described is like a painting by Salvador Dalí — seamless, unbroken, geometric. But the quantum particles that occupy this space are more like something from Georges Seurat: pointillist, discrete, described by probabilities. At their core, the two descriptions contradict each other. Yet a bold new strain of thinking suggests that quantum correlations between specks of impressionist paint actually create not just Dalí’s landscape, but the canvases that both sit on, as well as the three-dimensional space around them. And Einstein, as he so often does, sits right in the center of it all, still turning things upside-down from beyond the grave.
Read article here
One hundred years after Albert Einstein developed his general theory of relativity, physicists are still stuck with perhaps the biggest incompatibility problem in the universe. The smoothly warped space-time landscape that Einstein described is like a painting by Salvador Dalí — seamless, unbroken, geometric. But the quantum particles that occupy this space are more like something from Georges Seurat: pointillist, discrete, described by probabilities. At their core, the two descriptions contradict each other. Yet a bold new strain of thinking suggests that quantum correlations between specks of impressionist paint actually create not just Dalí’s landscape, but the canvases that both sit on, as well as the three-dimensional space around them. And Einstein, as he so often does, sits right in the center of it all, still turning things upside-down from beyond the grave.
Read article here
Telescope
1-st Sciecne&Tech TV