Machine-Learning Competition Boosts Earthquake Prediction Capabilities

July 19, 2019

LOS ALAMOS, N.M., July 19, 2019—Three teams who applied novel machine learning methods to successfully predict the timing of earthquakes from historic seismic data are splitting $50,000 in prize money from an open, online Kaggle competition hosted by Los Alamos National Laboratory and its partners.

Earthquake prediction could have the potential to improve earthquake hazard assessments that could save lives and billions of dollars in infrastructure. Image courtesy of Los Alamos Laboratory.

“Crowdsourcing for new approaches in earthquake forecasting helps us leverage a wide range of expertise in addressing one of the most important problems in Earth science, because of the devastating consequences of large quakes,” said Bertrand Rouet-Leduc, a Los Alamos researcher who prepared the data for the competition. “The winning teams’ results could have the potential to improve earthquake hazard assessments that could save lives and billions of dollars in infrastructure.”

Current scientific studies related to earthquake forecasting focus on three key points: when the event will occur, where it will occur, and how large it will be. The Kaggle competition provided a challenging dataset that was based on previously published laboratory analysis, to give the competitors a taxing project to explore.

More than 4,500 international teams were challenged to predict exactly when a laboratory-simulated quake would strike.  The top finishers came very close to a perfect time forecasting, and the top three teams were “The Zoo” (members from Austria, Texas, Illinois, Greece and Germany), “Jun Koda” (Italy), “Character Ranking” (Japan), “Rez” (California) and “Glory or Death” (Seattle, Washington).

The winning team, “The Zoo,” led by Austrian computer scientist Philipp Singer, devised a solution that involved a multi-task, decision-tree approach applying four statistical features.

“The final prediction model is based on a combination of  state-of-the-art machine learning models in the areas of neural  networks and gradient boosted decision trees,” said Singer.

“Zoo team based their approach on published work by the Los Alamos group,”  said Los Alamos’ Paul Johnson, project lead of work applying machine learning to earthquake fault problems.

Purdue University, Penn State and the U.S. Department of Energy Office of Science were cosponsors of the event, with DOE providing half of the prize money and Kaggle the other half.

“The Kaggle competition enabled us to access the broader machine learning community to determine if there are other methods for extracting information from geophysical signals.  Over 4,500 teams participated in the challenge and used a wide range of approaches,” said Purdue Professor Laura Pyrak-Nolte.

The winning teams had diverse backgrounds from operation research, math, electrical engineering, physics, brain wave research, cartoon publishing, law and data science. An important aspect of Kaggle competitions is that the winning solutions are posted and updated continuously on the Kaggle site for the community to see and try to improve their forecasting abilities.

About Kaggle

Kaggle is an online science community owned by Google LLC that offers courses, collaboration and competitions to enhance machine-learning opportunities worldwide. The site has more than 1 million registered users, arguably the largest and most diverse data community in the world.


Source: Los Alamos National Laboratory

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Nvidia Touts Strong Results on Financial Services Inference Benchmark

February 3, 2023

The next-gen Hopper family may be on its way, but that isn’t stopping Nvidia’s popular A100 GPU from leading another benchmark on its way out. This time, it’s the STAC-ML inference benchmark, produced by the Securi Read more…

Quantum Computing Firm Rigetti Faces Delisting

February 3, 2023

Quantum computing companies are seeing their market caps crumble as investors patiently await out the winner-take-all approach to technology development. Quantum computing firms such as Rigetti Computing, IonQ and D-Wave went public through mergers with blank-check companies in the last two years, with valuations at the time of well over $1 billion. Now the market capitalization of these companies are less than half... Read more…

US and India Strengthen HPC, Quantum Ties Amid Tech Tension with China

February 2, 2023

Last May, the United States and India announced the “Initiative on Critical and Emerging Technology” (iCET), aimed at expanding the countries’ partnerships in strategic technologies and defense industries across th Read more…

Pittsburgh Supercomputing Enables Transparent Medicare Outcome AI

February 2, 2023

Medical applications of AI are replete with promise, but stymied by opacity: with lives on the line, concerns over AI models’ often-inscrutable reasoning – and as a result, possible biases embedded in those models Read more…

Europe’s LUMI Supercomputer Has Officially Been Accepted

February 1, 2023

“LUMI is officially here!” proclaimed the headline of a blog post written by Pekka Manninen, director of science and technology for CSC, Finland’s state-owned IT center. The EuroHPC-organized supercomputer’s most Read more…

AWS Solution Channel

Shutterstock 2069893598

Cost-effective and accurate genomics analysis with Sentieon on AWS

This blog post was contributed by Don Freed, Senior Bioinformatics Scientist, and Brendan Gallagher, Head of Business Development at Sentieon; and Olivia Choudhury, PhD, Senior Partner Solutions Architect, Sujaya Srinivasan, Genomics Solutions Architect, and Aniket Deshpande, Senior Specialist, HPC HCLS at AWS. Read more…

Microsoft/NVIDIA Solution Channel

Shutterstock 1453953692

Microsoft and NVIDIA Experts Talk AI Infrastructure

As AI emerges as a crucial tool in so many sectors, it’s clear that the need for optimized AI infrastructure is growing. Going beyond just GPU-based clusters, cloud infrastructure that provides low-latency, high-bandwidth interconnects and high-performance storage can help organizations handle AI workloads more efficiently and produce faster results. Read more…

Intel’s Gaudi3 AI Chip Survives Axe, Successor May Combine with GPUs

February 1, 2023

Intel's paring projects and products amid financial struggles, but AI products are taking on a major role as the company tweaks its chip roadmap to account for more computing specifically targeted at artificial intellige Read more…

Quantum Computing Firm Rigetti Faces Delisting

February 3, 2023

Quantum computing companies are seeing their market caps crumble as investors patiently await out the winner-take-all approach to technology development. Quantum computing firms such as Rigetti Computing, IonQ and D-Wave went public through mergers with blank-check companies in the last two years, with valuations at the time of well over $1 billion. Now the market capitalization of these companies are less than half... Read more…

US and India Strengthen HPC, Quantum Ties Amid Tech Tension with China

February 2, 2023

Last May, the United States and India announced the “Initiative on Critical and Emerging Technology” (iCET), aimed at expanding the countries’ partnership Read more…

Intel’s Gaudi3 AI Chip Survives Axe, Successor May Combine with GPUs

February 1, 2023

Intel's paring projects and products amid financial struggles, but AI products are taking on a major role as the company tweaks its chip roadmap to account for Read more…

Roadmap for Building a US National AI Research Resource Released

January 31, 2023

Last week the National AI Research Resource (NAIRR) Task Force released its final report and roadmap for building a national AI infrastructure to include comput Read more…

PFAS Regulations, 3M Exit to Impact Two-Phase Cooling in HPC

January 27, 2023

Per- and polyfluoroalkyl substances (PFAS), known as “forever chemicals,” pose a number of health risks to humans, with more suspected but not yet confirmed Read more…

Multiverse, Pasqal, and Crédit Agricole Tout Progress Using Quantum Computing in FS

January 26, 2023

Europe-based quantum computing pioneers Multiverse Computing and Pasqal, and global bank Crédit Agricole CIB today announced successful conclusion of a 1.5-yea Read more…

Critics Don’t Want Politicians Deciding the Future of Semiconductors

January 26, 2023

The future of the semiconductor industry was partially being decided last week by a mix of politicians, policy hawks and chip industry executives jockeying for Read more…

Riken Plans ‘Virtual Fugaku’ on AWS

January 26, 2023

The development of a national flagship supercomputer aimed at exascale computing continues to be a heated competition, especially in the United States, the Euro Read more…

Leading Solution Providers

Contributors

SC22 Booth Videos

AMD @ SC22
Altair @ SC22
AWS @ SC22
Ayar Labs @ SC22
CoolIT @ SC22
Cornelis Networks @ SC22
DDN @ SC22
Dell Technologies @ SC22
HPE @ SC22
Intel @ SC22
Intelligent Light @ SC22
Lancium @ SC22
Lenovo @ SC22
Microsoft and NVIDIA @ SC22
One Stop Systems @ SC22
Penguin Solutions @ SC22
QCT @ SC22
Supermicro @ SC22
Tuxera @ SC22
Tyan Computer @ SC22
  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire