. 24/7 Space News .
AI for Earth and Space: Call for researchers and experts
by Staff Writers
Mountain View CA (SPX) Feb 07, 2022

illustration only

Frontier Development Lab (FDL) is kicking off its 7th year with a call for applications and the search for an expanded faculty. This year will be the program's biggest and most ambitious to date, with more teams tackling challenges in space, Earth science and energy domains.

FDL is a public-private partnership between NASA, DOE, the SETI Institute, Trillium Technologies, the European Space Agency and leaders in commercial AI, space exploration and Earth science including Google Cloud, NVIDIA, Intel, IBM and Microsoft. FDL applies advanced AI and machine learning techniques to basic research problems to push the frontiers of science and develop new tools to help solve critical challenges. FDL programs benefit our partner stakeholders and all humankind. The deadline for applications is April 3, 2022.

"FDL is a stunning example of how public/private partnerships and interdisciplinary skill sets can combine to achieve extraordinary results," said Bill Diamond, CEO, SETI Institute. "But these results also derive from the efforts of extraordinary researchers and mentors. We're thrilled to be launching our most ambitious FDL sprint ever this year, and invite you to join us!"

"AI is becoming a powerful partner for space exploration. AI is also proving to be a crucial ally for managing our planetary spaceship, Earth. If you're interested in working on problems that will help define the future of our species, on and off-world, then we'd love to hear from you" said James Parr, FDL Director.

FDL tackles knowledge gaps in space science by pairing machine learning experts with domain experts. Research teams are supported by computer data and advisory from our private sector partners for an intensive eight-week, paid research sprint over the summer between June and August. Final 2022 challenges will be announced in March, but research areas include:

Lunar Exploration: We are building on FDL's growing partnership with the Luxembourg Space Agency (LSA) to support this decade's ambitious lunar exploration goals. Can Physics-Informed Neural Nets (PINNs) replace traditional methods in lunar mapping to support rover traverses and human operations at the lunar poles?

Space Medicine: For the first time in half a century, astronauts will soon be living and working for long durations in deep space - either on Gateway, Artemis missions to the Moon or perhaps, in the 2030s, Mars. We know that the absence of gravity and increased solar and cosmic radiation conspire to make numerous challenges to long-term mission operations. Can ML techniques such as causal inference unlock powerful tools to unlock interventions on a molecular level?

Astrobiology: Finding the ingredients for extraterrestrial life (sometimes called 'biosignatures') is a task well-suited to ML - whether it is scanning through vast data troves or simplifying laborious workflows. Can ML help develop better definitions of 'life' to support rover-based exploration or large-scale all-sky surveys?

ML Onboard: As ML-enabled processors get more power-efficient and radiation tolerant, the opportunity is opening up for more intelligence and autonomy on our spacecraft - as recently demonstrated by the TRN (Terrain Relative Navigation) pipeline running on NASA JPL's Perseverance Mission. Can we use ML to develop smart constellations for more effective disaster response, planetary management or deep space exploration?

Climate Adaptation: Adapting our civilization's key infrastructure to a rapidly warming climate will inevitably be at the top of our species' "To Do" list for the coming decades. Can ML help probe geomechanical data to future-proof our energy grid or provide insights on strategies for carbon sequestration? Can ML improve our decisions on building and managing the utilities of the future?

Disaster Response: FDL has already shown how ML can support Disaster response - from rapid flood mapping and inundation warning to wildfire ignition, predicting fire-spread and lightning flash rate. However, there is much work to enable operational and trusted systems. Can ML better support disaster response from resilience planning through to just-in-time insight and post-disaster recovery?

Energy Futures: ML is proving a powerful tool for assisted discovery and has already proved to be a powerful tool in drug discovery and engineering. Can we use techniques such as NLP (Natural Language Processing), Reinforcement Learning (RL) and genetic selection algorithms to accelerate the development and management of zero-emission energy solutions?

Earth Science: Over the past decade, there has been a quiet revolution in Earth Observation (EO) technologies, with constellations of Earth-orbiting satellites now providing a daily view of our planet from multiple vantage points and a wide variety of instrumentation. Can we pair this deluge of data with ML to uncover exciting new opportunities for understanding fundamental causal processes of our planet, from atmospheric interactions to hydrology, through to the origins of drought and other indicators of the health of critical ecosystems?

Live Twin: Earth System Predictability (ESP) has emerged as a key 'moonshot' for simulation science and High-Performance Computing (HPC). FDL has already taken small steps towards this vision, showing the potential for ML to emulate empirical models with greater efficiency, often reaching HPC parity with a fraction of the power. Can ML further push the state-of-the-art in creating a digital twin of our planet's systems - twinning in real-time, a so-called "Live Twin"?

Heliophysics: Our local star remains the biggest influence on our planet, and its behavior is the most significant unknown variable for deep space exploration and habitability. FDL has built a broad portfolio of ML pipelines, from predicting thermospheric drag to starspots on distant stars. Can we use ML to better understand and predict the Sun's influence on climate and make deep space exploration safer?

Related Links
SETI Institute
Lands Beyond Beyond - extra solar planets - news and science
Life Beyond Earth

Thanks for being there;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Monthly Supporter
$5+ Billed Monthly

paypal only
SpaceDaily Contributor
$5 Billed Once

credit card or paypal

SETI's plan for a sky-monitoring telescope on the moon
Mountain View CA (SPX) Jan 19, 2022
The SETI Institute teamed up with Louisiana State University (LSU) and Mississippi State University (MSU) to help students design the science program for AstronetX PBC's first lunar-based camera (L-CAM 1). The scientific program planning is funded by a Gordon and Betty Moore Foundation grant to AstronetX. Additional funding for student participation is provided by the National Science Foundation (NSF) Research Experiences for Undergrads (REU) program at LSU. L-CAM1 will capture images for research ... read more

Comment using your Disqus, Facebook, Google or Twitter login.

Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

Northrop Grumman's 17th Resupply Mission packed with science and technology for ISS

Global patent filings surged to record high in 2021: UN

China joins industrial design IP treaty

Astronaut hits 300 days in space, on way to break NASA record

NASA, SpaceX investigate Dragon capsule parachute openings

Astra Space scrubs first Florida launch a second time

SpaceX Starship orbital flight likely this year

Musk 'confident' of Starship orbital launch this year

How easy is it to turn water into oxygen on Mars

Shocked zircon find a 'one-off gift' from Mars

Predicting the efficiency of oxygen-evolving electrolysis on the Moon and Mars

Sols 3381-3382: Whence We Came

China Focus: China to explore lunar polar regions, mulling human landing: white paper

China to boost satellite services, space technology application: white paper

China Focus: China to explore space science more: white paper

China to improve space debris monitoring: white paper

Solar storm knocks out 40 SpaceX Starlink satellites

Sidus Space announces deal with Red Canyon Software to support LizzieSat Constellation

Russian Soyuz rocket launches 34 new UK satellites

Protecting dark and quiet skies from satellite constellation interference

Taiwan eases nuclear-accident food import ban from Japan

Rare earth elements await in waste

Indian Space Agency decommissions communication satellite

Scientists discover a mysterious transition in an electronic crystal

Puffy planets lose atmospheres, become Super Earths

Warps drive disruptions in planet formation in young solar systems

AI for Earth and Space: Call for researchers and experts

Final moments of planetary remnants seen for first time

Juno and Hubble data reveal electromagnetic 'tug-of-war' lights up Jupiter's upper atmosphere

Oxygen ions in Jupiter's innermost radiation belts

Ocean Physics Explain Cyclones on Jupiter

Looking Back, Looking Forward To New Horizons

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.