 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
| . |  |
. |
 by Staff Writers Mountain View CA (SPX) Aug 27, 2021
Frontier Development Lab (FDL), in partnership with the SETI Institute, NASA and private sector partners including Google Cloud, are transforming space and Earth science through the application of industry-leading artificial intelligence (AI) and machine learning (ML) tools. FDL tackles knowledge gaps in space science by pairing ML experts with researchers in physics, astronomy, astrobiology, planetary science, space medicine and Earth science. These researchers have utilized Google Cloud compute resources and expertise since 2018, specifically AI / ML technology, to address research challenges in areas like astronaut health, lunar exploration, exoplanets, heliophysics, climate change and disaster response. With access to compute resources provided by Google Cloud, FDL has been able to increase the typical ML pipeline by more than 700 times in the last five years, facilitating new discoveries and improved understanding of our planet, solar system and the universe. Throughout this period, Google Cloud's Office of the CTO (OCTO) has provided ongoing strategic guidance to FDL researchers on how to optimize AI / ML , and how to use compute resources most efficiently. With Google Cloud's investment, recent FDL achievements include: + Allowing lunar scientists to see into the permanently shadowed craters of the lunar poles to help NASA develop traverse plans for robotic and human exploration. + Helping clinicians understand the causal factors in a target cancer in a way that respects patient privacy. + Enabling researchers to search NASA's petascale archives of data without human labels. + Helping astrophysicists survey the starspots on distant stars to determine their suitability for life. + Updating U.S. hydrology maps everyday to help the U.S. Geological Survey understand the U.S. water supply to develop better predictive models for droughts and floods. "Unfettered on-demand access to massive super-compute resources has transformed the FDL program, enabling researchers to address highly complex challenges across a wide range of science domains, advancing new knowledge, new discoveries and improved understandings in previously unimaginable timeframes," said Bill Diamond, president and CEO, SETI Institute. "This program, and the extraordinary results it achieves, would not be possible without the resources generously provided by Google Cloud." "When I first met Bill Diamond and James Parr in 2017, they asked me a simple question: 'What could happen if we marry the best of Silicon Valley and the minds of NASA?'" said Scott Penberthy, director of Applied AI at Google Cloud. "That was an irresistible challenge. We at Google Cloud simply shared some of our AI tricks and tools, one engineer to another, and they ran with it. I'm delighted to see what we've been able to accomplish together - and I am inspired for what we can achieve in the future. The possibilities are endless." FDL leverages AI technologies to push the frontiers of science research and develop new tools to help solve some of humanity's biggest challenges. FDL teams are comprised of doctoral and post-doctoral researchers who use AI / ML to tackle ground-breaking challenges. Cloud-based super-computer resources mean that FDL teams achieve results in eight-week research sprints that would not be possible in even year-long programs with conventional compute capabilities. "High-performance computing is normally constrained due to the large amount of time, limited availability and cost of running AI experiments," said James Parr, director of FDL. "You're always in a queue. Having a common platform to integrate unstructured data and train neural networks in the cloud allows our FDL researchers from different backgrounds to work together on hugely complex problems with enormous data requirements - no matter where they are located." Better integrating science and ML is the founding rationale and future north star of FDL's partnership with Google Cloud. ML is particularly powerful for space science when paired with a physical understanding of a problem space. The gap between what we know so far and what we collect as data is an exciting frontier for discovery and something AI / ML and cloud technology is poised to transform. You can learn more about FDL's 2021 program here. The FDL 2021 showcase presentations can be watched as follows:
+ FDL USA in full - https://youtu.be/viAm8gAlb3g
Department of Energy invests in novel research in high-performance algorithms Washington DC (SPX) Aug 25, 2021 the U.S. Department of Energy (DOE) announced $2.8 million for six research projects to develop faster and more efficient ways to apply high-performance computing for scientific discoveries. The projects - housed in six states and involving five universities and one DOE national laboratory - will focus on the development of "randomized algorithms" for transforming DOE scientific computing capabilities into insights at the frontiers of physics, chemistry, biology, and other domains. Advances ... read more
|
|||||||||||||
|
|
| The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us. |
del.icio.us
Digg
Reddit
Google
