ellsworth
Double Difference Earthquake Location with Graph Neural Networks
McBrearty, Ian W., Beroza, Gregory C.
Double difference earthquake relocation is an essential component of many earthquake catalog development workflows. This technique produces high-resolution relative relocations between events by minimizing differential measurements of the arrival times of waves from nearby sources, which highlights the resolution of faults and improves interpretation of seismic activity. The inverse problem is typically solved iteratively using conjugate-gradient minimization, however the cost scales significantly with the total number of sources and stations considered. Here we propose a Graph Neural Network (GNN) based earthquake double-difference relocation framework, Graph Double Difference (GraphDD), that is trained to minimize the double-difference residuals of a catalog to locate earthquakes. Through batching and sampling the method can scale to arbitrarily large catalogs. Our architecture uses one graph to represent the stations, a second graph to represent the sources, and creates the Cartesian product graph between the two graphs to capture the relationships between the stations and sources (e.g., the residuals and travel time partial derivatives). This key feature allows a natural architecture that can be used to minimize the double-difference residuals. We implement our model on several distinct test cases including seismicity from northern California, Turkiye, and northern Chile, which have highly variable data quality, and station and source distributions. We obtain high resolution relocations in these tests, and our model shows adaptability to variable types of loss functions and location objectives, including learning station corrections and mapping into the reference frame of a different catalog. Our results suggest that a GNN approach to double-difference relocation is a promising direction for scaling to very large catalogs and gaining new insights into the relocation problem.
- North America > United States > California (1.00)
- Asia (0.89)
Woman left feeling like 'Frankenstein' after plastic surgeon allegedly botched her procedure while drunk
Dr. Sheila Nazarian, the star of Netflix's "Skin Decision: Before and After," said celebrities who want to speak out on the Israel-Hamas war should educate themselves first. A woman in Arizona has sued her plastic surgeon, accusing him of botching her procedure while operating under the influence of alcohol, leaving her in distress, according to local reports. Dr. Bradley Becker is a "Double Board Certified-Plastic Reconstructive surgeon who has been practicing in AZ for 21 years. "It's hard to feel like you can go out when you feel like Frankenstein," his former patient, Wendy Ellsworth, said in an interview Friday with Phoenix New Times. Ellsworth said she got a tummy tuck and breast reduction with Dr. Becker. Ellsworth sued Becker in Maricopa County Superior Court in September, accusing the Glendale plastic and reconstructive surgeon of "medical negligence," "battery" and "intentional infliction of emotional distress," the report said. Woman said she felt like Frankenstein after plastic surgery allegedly went wrong. Ellsworth said she thought she smelled alcohol when Dr. Becker came to see her before the operation began. "I had put my money down.
- North America > United States > Arizona > Maricopa County (0.25)
- Asia > Middle East > Israel (0.25)
- Law (1.00)
- Health & Medicine > Surgery > Plastic & Reconstructive Surgery (0.93)
Stanford AI Technology Detects Hidden Earthquakes – May Provide Warning of Big Quakes
New technology from Stanford scientists finds long-hidden quakes, and possible clues about how earthquakes evolve. Tiny movements in Earth's outermost layer may provide a Rosetta Stone for deciphering the physics and warning signs of big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes in the growing mountain of seismic data. As part of his PhD studies in geophysics, he sat scanning earthquake signals recorded the night before, verifying that decades-old algorithms had detected true earthquakes rather than tremors generated by ordinary things like crashing waves, passing trucks or stomping football fans. "I did all this tedious work for six months, looking at continuous data," Mousavi, now a research scientist at Stanford's School of Earth, Energy & Environmental Sciences (Stanford Earth), recalled recently.
- North America > United States > California (0.50)
- Asia > Japan (0.16)
CoParenter helps divorced parents settle disputes using AI and human mediation
A former judge and family law educator has teamed up with tech entrepreneurs to launch an app they hope will help divorced parents better manage their co-parenting disputes, communications, shared calendar and other decisions within a single platform. The app, called coParenter, aims to be more comprehensive than its competitors, while also leveraging a combination of AI technology and on-demand human interaction to help co-parents navigate high-conflict situations. The idea for coParenter emerged from co-founder Hon. Sherrill A. Ellsworth's personal experience and entrepreneur Jonathan Verk, who had been through a divorce himself. Ellsworth had been a presiding judge of the Superior Court in Riverside County, California for 20 years and a family law educator for 10. During this time, she saw firsthand how families were destroyed by today's legal system.
Could artificial intelligence help predict earthquakes?
CBS station KFMB put in calls to the Navy and Air Force Monday night about the striking launch off the coast of Los Angeles, which was easily visible from the coast, but the military has said nothing about the launch. KFMB showed video of the apparent missile to former U.S. Ambassador to NATO Robert Ellsworth, who is also a former Deputy Secretary of Defense, to get his thoughts. It takes people\'s breath away,\" said Ellsworth, calling the projectile, \"a big missile\". Magnificent images were captured by the KCBS news helicopter in L.A. around sunset Monday evening. The location of the missile was about 35 miles out to sea, west of L.A. and north of Catalina Island.
- Government > Regional Government > North America Government > United States Government (0.87)
- Government > Military > Air Force (0.65)