Showing 20 articles starting at article 1
Categories: Geoscience: Earthquakes, Mathematics: Modeling
Published Two epicenters led to Japan's violent Noto earthquake on New Year's Day



The 7.5- magnitude earthquake beneath Japan's Noto Peninsula on Jan. 1, 2024, occurred when a 'dual-initiation mechanism' applied enough energy from two different locations to break through a fault barrier -- an area that locks two sides of a fault in place and absorbs the energy of fault movement, slowing it down or stopping it altogether.
Published Self-improving AI method increases 3D-printing efficiency



An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.
Published Peering into the mind of artificial intelligence to make better antibiotics



Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.
Published AI model aids early detection of autism



A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.
Published Decoding mysterious seismic signals



Geophysicists find link between seismic waves called PKP precursors and anomalies in Earth's mantle that are associated with hotspots associated with volcanism on the surface.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science



A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.
Published Researchers unveil mysteries of ancient Earth



A team of researchers has made strides in understanding the formation of massif-type anorthosites, enigmatic rocks that only formed during the middle part of Earth's history. These plagioclase-rich igneous rock formations, which can cover areas as large as 42,000 square kilometers and host titanium ore deposits, have puzzled scientists for decades due to conflicting theories about their origins.
Published In subdivided communities cooperative norms evolve more easily



Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions



Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published Think fast -- or not: Mathematics behind decision making



New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published AI poses no existential threat to humanity, new study finds



Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding



A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Greenland mega-tsunami led to week-long oscillating fjord wave



In September 2023, a megatsunami in remote eastern Greenland sent seismic waves around the world, piquing the interest of the global research community. The event created a week-long oscillating wave in Dickson Fjord, according to a new report in The Seismic Record.
Published Researchers outline promises, challenges of understanding AI for biological discovery



Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.
Published Sichuan Province earthquake offers lessons for landslide prediction from GNSS observations



Using data collected from a 2022 magnitude 6.8 earthquake in Luding County in China's Sichuan Province, researchers tested whether Global Navigation Satellite System (GNSS) observations could be used for rapid prediction of earthquake-triggered landslides.
Published A new way of thinking about the economy could help protect the Amazon, and help its people thrive



To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.
Published Study revisits Texas seismic activity occurring before 2017, confirming connection to wastewater injection



A new study by seismologists reexamines earthquakes in the Permian Basin that occurred before 2017 against the real-time data collected from earthquakes taking place after 2020. Results confirm that the seismicity occurring from 2009-2017 was causally linked to the underground injection of wastewater that is a byproduct of oil and gas extraction.
Published Seismic detectors measure soil moisture using traffic noise



Using state of the art techniques, researchers use vibrations from traffic to measure underground soil moisture.
Published Cracking the code of life: new AI model learns DNA's hidden language



With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.
Published New model refutes leading theory on how Earth's continents formed



Computational modeling shows that plate tectonics weren't necessary for early continents.