{"id":2199,"date":"2022-07-11T23:38:55","date_gmt":"2022-07-11T23:38:55","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/11\/ai-on-the-sky-stunning-new-images-from-the-james-webb-space-telescope-to-be-analyzed-by-train-ai\/"},"modified":"2022-07-11T23:38:55","modified_gmt":"2022-07-11T23:38:55","slug":"ai-on-the-sky-stunning-new-images-from-the-james-webb-space-telescope-to-be-analyzed-by-train-ai","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/11\/ai-on-the-sky-stunning-new-images-from-the-james-webb-space-telescope-to-be-analyzed-by-train-ai\/","title":{"rendered":"AI on the Sky: Stunning New Images from the James Webb Space Telescope to be Analyzed by, Train, AI"},"content":{"rendered":"
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The release by U.S. President Joe Biden Monday of the first full-color image from the James Webb Space Telescope is already astounding \u2014 and delighting \u2014 humans around the globe.<\/p>\n

\u201cWe can see possibilities nobody has ever seen before, we can go places nobody has ever gone before,\u201d Biden said during a White House press event. \u201cThese images are going to remind the world that America can do big things.\u201d<\/p>\n

But humans aren\u2019t the only audience for these images. Data from what Biden described as the \u201cmiraculous telescope\u201d are also being soaked up by a new generation of GPU-accelerated AI created at UC Santa Cruz.<\/p>\n

And Morpheus, as the team at UC Santa Cruz has dubbed the AI, won\u2019t just be helping humans make sense of what we\u2019re seeing. It will also use images from the $10 billion space telescope to better understand what it\u2019s looking for.<\/p>\n

The image released Monday represents the deepest and sharpest infrared images of the distant universe to date. Dubbed \u201cWebb\u2019s First Deep Field,\u201d the image of galaxy cluster SMACS 0723 is overflowing with detail.<\/p>\n

Answering Questions<\/h2>\n

NASA reported that the thousands of galaxies \u2014 including the faintest objects ever observed in the infrared \u2014 have appeared in Webb\u2019s view for the first time.<\/p>\n

And Monday\u2019s image represents just a tiny piece of what\u2019s out there, with the image covering a patch of sky roughly the size of a grain of sand held at arm\u2019s length by someone on the ground, explained NASA Administrator Bill Nelson.<\/p>\n

The telescope\u2019s iconic array of 18 interlocking hexagonal mirrors, which span a total of 21 feet 4 inches, are peering far deeper into the universe and deeper into the universe\u2019s past than any tool to date.<\/p>\n

\u201cWhen you look at something as big as this we are going to be able to answer questions that we don\u2019t even know what the questions are yet,\u201d Nelson said.<\/p>\n

Strange New Worlds<\/h2>\n
\n

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U.S. President Joe Biden unveiled the first image from the $10 billion James Webb Space Telescope Monday. It shows galaxy cluster SMACS 0723 as it appeared 4.6 billion years ago. The combined mass of this galaxy cluster acts as a gravitational lens, magnifying much more distant galaxies behind it.<\/figcaption><\/figure>\n

The telescope won\u2019t just see back further in time than any scientific instrument \u2014 almost to the beginning of the universe \u2014 it may also help us see if planets outside our solar system are habitable, Nelson said.<\/p>\n

Morpheus \u2014 which played a key role in helping scientists understand images taken on NASA\u2019s Hubble Space Telescope \u2014 will help scientists ask, and answer, these questions, by analyzing images that are further away and from phenomena that are deeper back in time than before.<\/p>\n

Working with Ryan Hausen, a Ph.D. student in UC Santa Cruz\u2019s computer science department, Robertson helped create a deep learning framework that classifies astronomical objects, such as galaxies, based on the raw data streaming out of telescopes on a pixel-by-pixel basis.<\/p>\n

\u201cThe JWST will really enable us to see the universe in a new way that we\u2019ve never seen before,\u201d said UC Santa Cruz Astronomy and Astrophysics Professor Brant Robertson. \u201cSo it\u2019s really exciting.\u201d<\/p>\n

Eventually, Morpheus will also be using the images to learn, too. Not only are the JWST\u2019s optics unique, but JWST will also be collecting light galaxies that are further away \u2014 and thus redder \u2014 than were visible on the Hubble.<\/p>\n

Morpheus is trained on UC Santa Cruz\u2019s Lux supercomputer. The machine includes 28 GPU nodes with two NVIDIA V100 GPUs each.<\/p>\n

In other words, while we\u2019ll all feasting our eyes on these images for years to come, scientists will be feeding data from the JWST to AI.<\/p>\n

Tune in: NASA and its partners will release the full series of Webb\u2019s first full-color images and data, known as spectra, Tuesday, July 12, during a live NASA TV broadcast.<\/strong><\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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