✨Attempting to unveil the mysteries around black holes. Watch the video in the IE post below.
👉Follow André B. for further interesting insights on Technology, AI and Mechanical Engineering.
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"Ever wondered what it would be like to fall into a black hole? A new NASA simulation has the answer — including the inevitable, crushing end.
Best watched on a large screen.
"Goddard scientists created the visualizations on the Discover supercomputer at the NASA Center for Climate Simulation.
The destination is a supermassive black hole with 4.3 million times the mass of our Sun, equivalent to the monster located at the center of our Milky Way galaxy. To simplify the complex calculations, the black hole is not rotating.
A flat, swirling cloud of hot, glowing gas called an accretion disk surrounds the black hole and serves as a visual reference during the fall. So do glowing structures called photon rings, which form closer to the black hole from light that has orbited it one or more times. A backdrop of the starry sky as seen from Earth completes the scene.
The project generated about 10 terabytes of data — equivalent to roughly half of the estimated text content in the Library of Congress — and took about 5 days running on just 0.3% of Discover’s 129,000 processors. The same feat would take more than a decade on a typical laptop."
https://lnkd.in/gaXvZiRa
As the paper authors write, “Monitoring progress at a pace relevant to decision-making is key.” Google Earth Engine powering TCL3.0 is a superb example of the power of monitoring habitat change in tiger landscapes. Congrats to all paper authors and geospatial data wizards, in particular Eric W. SandersonKim FisherNathaniel Robinsonhttps://lnkd.in/gxK5E_gq
For map geeks, especially those whose data products rely on a combination of static and more dynamic datasets, check out the authors' approach to recalculating map outputs when underlying data is updated. https://lnkd.in/gqU7cJgX
NASA satellite imagery and Google Earth Engine computing power are helping scientists develop a real-time monitoring system for #tiger habitat globally. https://bit.ly/49RXvHd
In this issue of #TheOT, learn about how new technology at NASA's Jet Propulsion Laboratory (JPL) that detects grape disease from the sky is the beginning of far bigger things.
Read the article and more 👉 https://bit.ly/4aEgPZz
Digital Transformation Leader | Driving Strategic Initiatives & AI Solutions | Thought Leader in Tech Innovation
Hyperion XP-1 is a hydrogen powered car with NASA technology
Capable of 1,000-mile range and emitting only water vapor.
Still to be mass produced
#sustainability
Are AI-powered digital twins the unsung heroes of modern science?
➡️ Digital twins, like the one used for NASA's James Webb Space Telescope (JWST), are transforming how scientists and engineers manage complex systems. This AI-driven replica of the JWST provides real-time monitoring and troubleshooting, ensuring the telescope's flawless deployment in space.
➡️ The concept, first popularized by NASA, involves creating a virtual model of a physical object that updates continuously with real-world data. This technology has revolutionized fields beyond astronomy, including defense and manufacturing, by allowing precise simulations and predictive maintenance.
❓ As digital twins become more prevalent, can we balance their benefits with the risk of over-reliance on technology?
Read the full story on MIT Technology Review: https://lnkd.in/gguhvAdc#Space#DigitalTwins#AI#JWST#NASA
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💡 𝗜𝗳 𝘆𝗼𝘂 𝗲𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗯𝗲 𝘀𝘂𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗺𝘆 𝗻𝗲𝘄 𝗮𝗽𝗽 𝗳𝗼𝗿 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >5000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! 🚀
"Top 62 Women in Aviation & Aerospace to follow on Linkedin" Disruption DeepTech NewSpace NewSpaceEconomy Web3 RWAs Crypto Blockchain Digital SustainableWorld - Only for information , No trading & No investment advice
"This new, immersive visualization produced on a NASA supercomputer represents a scenario where a camera — a stand-in for a daring astronaut — enters the event horizon, sealing its fate. Goddard scientists created the visualizations on the Discover supercomputer at the NASA Center for Climate Simulation.
The destination is a supermassive black hole with 4.3 million times the mass of our Sun, equivalent to the monster located at the center of our Milky Way galaxy. To simplify the complex calculations, the black hole is not rotating.
A flat, swirling cloud of hot, glowing gas called an accretion disk surrounds the black hole and serves as a visual reference during the fall. So do glowing structures called photon rings, which form closer to the black hole from light that has orbited it one or more times. A backdrop of the starry sky as seen from Earth completes the scene.
The project generated about 10 terabytes of data — equivalent to roughly half of the estimated text content in the Library of Congress — and took about 5 days running on just 0.3% of Discover’s 129,000 processors. The same feat would take more than a decade on a typical laptop."
NASA Simulation’s Plunge Into a Black Hole: Explained
NASA Goddard
https://lnkd.in/e_f9ZfE9
Are AI-powered digital twins the unsung heroes of modern science?
➡️ Digital twins, like the one used for NASA's James Webb Space Telescope (JWST), are transforming how scientists and engineers manage complex systems. This AI-driven replica of the JWST provides real-time monitoring and troubleshooting, ensuring the telescope's flawless deployment in space.
➡️ The concept, first popularized by NASA, involves creating a virtual model of a physical object that updates continuously with real-world data. This technology has revolutionized fields beyond astronomy, including defense and manufacturing, by allowing precise simulations and predictive maintenance.
❓ As digital twins become more prevalent, can we balance their benefits with the risk of over-reliance on technology?
Read the full story on MIT Technology Review: https://lnkd.in/gguhvAdc#Space#DigitalTwins#AI#JWST#NASA
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💡 𝗜𝗳 𝘆𝗼𝘂 𝗲𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗯𝗲 𝘀𝘂𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗺𝘆 𝗻𝗲𝘄 𝗮𝗽𝗽 𝗳𝗼𝗿 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >5000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! 🚀
The Falcon 9 rocket, which will launch NASA's PACE mission, was rolled out and installed at SLC-40 (Space Launch Complex 40) of the Cape Canaveral Space Force Station (CCSFS) for the launch, scheduled for February 6, 1:33 a.m. ET, 06:33 UTC, and 07:33 CET.
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Picture credits: SpaceX
PACE's data will help us understand how the ocean and atmosphere exchange carbon dioxide. In addition, it will reveal how aerosols might fuel phytoplankton growth in the surface ocean. Novel uses of PACE data will benefit our economy and society. For example, it will help identify the extent and duration of harmful algal blooms. PACE will extend and expand NASA's long-term observations of our living planet. Doing so will take Earth's pulse in new ways for decades.
The primary science instrument planned for PACE is the Ocean Color Instrument (OCI), which will be capable of measuring the color of the ocean from ultraviolet to shortwave infrared.
PACE will also include two polarimeters. Such instruments are used to measure how the oscillation of sunlight within a geometric plane - known as its polarization - is changed by passing through clouds, aerosols, and the ocean.
The polarimeters onboard the PACE observatory are the spectro-polarimeter for planetary exploration (SPEXone) and the hyper-angular research polarimeter (HARP2). They will be contributed by a consortium based in the Netherlands and the University of Maryland Baltimore County.
SPEXone and HARP2 will meet the PACE mission's needs by providing complementary spectral and angular sampling, polarimetric accuracy, and spatial coverage (see table below). They will provide opportunities for improved OCI atmospheric correction, as well as a comprehensive range of aerosol and cloud science data products beyond what could be accomplished by the OCI alone. Thus, the synergistic payload of the OCI, SPEXone, and HARP2 will be poised to make significant breakthroughs in aerosol-cloud-ocean research.