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WFIRST ain’t your grandma’s space telescope. Despite having the same size mirror as the surprisingly reliable Hubble Space Telescope, clocking in at 2.4 meters across, this puppy will pack a punch with a gigantic 300 megapixel camera, enabling it to snap a single image with an area a hundred times greater than the Hubble.

With that fantastic camera and the addition of one of the most sensitive coronagraphs ever made – letting it block out distant starlight on a star-by-star basis – this next-generation telescope will uncover some of the deepest mysteries of the cosmos.

Oh, and also find about a million exoplanets.

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Amazon CEO Jeff Bezos wants to send its first passengers to space as soon as this year. Bezos spoke during a private event at the Yale Club in New York City, Business Insider reports.

“This year. This is the first time I’ve ever been saying, ”this year.” For a few years, I’ve been saying, ”next year,” Bezos told Jeff Foust, senior staff writer at Space News, during the event.

The billionaire’s private space tourism company Blue Origins has been making some big strides towards that goal in recent years. Its flagship suborbital vehicle New Shepard reached the so-called Kármán line (62 miles or 100 km), widely agreed to be the edge of outer space, for the first time during a test flight in 2015.

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Understanding the global carbon cycle provides scientists with vital clues about the planet’s habitability.

It’s the reason why the Earth has a clement stable climate and a low dioxide atmosphere compared to that of Venus, for instance, which is in a runaway greenhouse state with high surface temperatures and a thick carbon dioxide atmosphere.

One major difference between Earth and Venus is the existence of active plate tectonics on Earth, which make our environment unique within our solar system.

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Introduction

The rise of https://www.humanbrainproject.eu/en/silicon-brains/” target=”_blank” rel=” nofollow noopener noreferrer” data-ga-track=” ExternalLink: https://www.humanbrainproject.eu/en/silicon-brains/”>the https://www.humanbrainproject.eu/en/silicon-brains/” target=”_blank” rel=” nofollow noopener noreferrer” data-ga-track=” ExternalLink: https://www.humanbrainproject.eu/en/silicon-brains/”>silicon brain that can give rise to thought, emotion and behavior in a machine seems to be on the way. This is mainly due to rapid advances in software and hardware that are paving the way for next generation computational systems with cognitive abilities modeled after the human brain. This will prove to be a significant evolutionary development and especially important to enhancing https://www.informationweek.com/big-data/ai-machine-learning…id/1331480” target=”_blank” rel=” nofollow noopener noreferrer” data-ga-track=” ExternalLink: https://www.informationweek.com/big-data/ai-machine-learning…id/1331480”>machine intelligence for the complex problems that need to be solved for the future of humanity. So, as we envision a rapidly evolving silicon brain taking in the data from its surroundings in cyberspace, geospace, space (CGS) and run the data through some known/unknown computing processes and then tell the computer/machine to act, feel or behave in a certain way seems to bring humanity a lot more questions than answers. This is mainly because it is not known how the information on the silicon brain will be processed, stored or recalled; how the computer commands will emerge and become effective, and even how the silicon brain will experience the sensory world around it in CGS, and how it will think, feel or empathize.

As we evaluate all these emerging questions surrounding the rise of the silicon brain, there is an intense effort already going on to create neuromorphic chips that can mimic the human brain. There is also an initiative emerging to create a neuromorphic chip based on an octopus brain. While the emerging neuromorphic chips are still nowhere near as capable as a human brain or octopus brain, much is expected to change for machine intelligence very rapidly in the coming years, as these chips begin learning to process available sensory data from CGS to evolve their abilities in real time for the goals defined for them.

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