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This comparison shows a stunning view of the 30 trillion-km-wide Helix Nebula acquired with the VISTA #telescope in infrared light along with a more familiar view in visible light from the #ESO 2.2-metre telescope. The infrared vision of VISTA reveals strands of cold nebular gas that are much less prominent in visible light images of the Helix.

Credit: J.Emerson
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Google Says It Just Ran The First-Ever Quantum Simulation of a Chemical Reaction
Giant Gaping Void Emerges in Siberia, The Latest in a Dramatic Ongoing Phenomenon

A bubble of methane gas, swelling beneath Siberia's melting permafrost for who knows how long, has burst open to form an impressive 50-metre-deep (164-foot-deep) crater.

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Good example of how science&technology are used for security solutions to save people life's.

UVSS is a hardware-software based system for under-vehicle surveillance. The system creates a database of high-resolution undercarriage images and recognized vehicle license plates.
UVSS provides high-quality images of the entire width of a vehicle’s undercarriage. Moreover, it is a cost-effective and convenient solution for visual inspection of all types of vehicles: from passenger vehicles to trucks and trailers. It is a perfect solution for government, military, corporate, and transportation facilities – wherever particular vehicle monitoring is required.

Contact @bigfarang for more info
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This is the story of how smoke rings, bleeding Sharpie ink, and a “blob” in an underground water tank helped physicists build a playground for studying turbulence.
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📖 Want to know more? Read "An Unexpected Twist Lights Up the Secrets of Turbulence
Are you Positive to distance education in schools this year in new normality conditions or against?
Final Results
56%
I prefer distant education for my children
44%
Only physical presence will make sense in education
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Why general artificial intelligence will not be realized? Read here: https://www.nature.com/articles/s41599-020-0494-4

The modern project of creating human-like artificial intelligence (AI) started after World War II, when it was discovered that electronic computers are not just number-crunching machines, but can also manipulate symbols. It is possible to pursue this goal without assuming that machine intelligence is identical to human intelligence. This is known as weak AI. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. Weak AI is less ambitious than strong AI, and therefore less controversial. However, there are important controversies related to weak AI as well. This paper focuses on the distinction between artificial general intelligence (AGI) and artificial narrow intelligence (ANI). Although AGI may be classified as weak AI, it is close to strong AI because one chief characteristics of human intelligence is its generality. Although AGI is less ambitious than strong AI, there were critics almost from the very beginning. One of the leading critics was the philosopher Hubert Dreyfus, who argued that computers, who have no body, no childhood and no cultural practice, could not acquire intelligence at all. One of Dreyfus’ main arguments was that human knowledge is partly tacit, and therefore cannot be articulated and incorporated in a computer program. However, today one might argue that new approaches to artificial intelligence research have made his arguments obsolete. Deep learning and Big Data are among the latest approaches, and advocates argue that they will be able to realize AGI. A closer look reveals that although development of artificial intelligence for specific purposes (ANI) has been impressive, we have not come much closer to developing artificial general intelligence (AGI). The article further argues that this is in principle impossible, and it revives Hubert Dreyfus’ argument that computers are not in the world.