Showing 20 articles starting at article 1
Categories: Geoscience: Geology, Mathematics: Modeling
Published Two epicenters led to Japan's violent Noto earthquake on New Year's Day
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 New study reveals devastating power and colossal extent of a giant underwater avalanche off the Moroccan coast
(via sciencedaily.com) Original source New research has revealed how an underwater avalanche grew more than 100 times in size causing a massive trail of destruction as it traveled 2000km across the Atlantic Ocean seafloor off the North West coast of Africa. Researchers provide an unprecedented insight into the scale, force and impact of one of nature's mysterious phenomena, underwater avalanches.
Published Fossil hotspots in Africa obscure a more complete picture of human evolution
(via sciencedaily.com) Original source A new study shows how the mismatch between where fossils are preserved and where humans likely lived may influence our understanding of early human evolution.
Published Peering into the mind of artificial intelligence to make better antibiotics
(via sciencedaily.com) Original source 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 Preservation of organic carbon in the ocean floor
(via sciencedaily.com) Original source The preservation of organic carbon in marine sediments has long been a key question remaining unclear in understanding the long-term carbon cycling on Earth. Recently, scientists have gained new insights into the dynamic cycling of iron-bound organic carbon in subseafloor sediments.
Published AI model aids early detection of autism
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Scottish and Irish rocks confirmed as rare record of 'snowball Earth'
(via sciencedaily.com) Original source The study found that the Port Askaig Formation, composed of layers of rock up to 1.1 km thick, was likely laid down between 662 to 720 million years ago during the Sturtian glaciation -- the first of two global freezes thought to have triggered the development of complex, multicellular life.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Millions of years for plants to recover from global warming
(via sciencedaily.com) Original source Catastrophic volcanic eruptions that warmed the planet millions of years ago shed new light on how plants evolve and regulate climate. Researchers reveal the long-term effects of disturbed natural ecosystems on climate in geological history and its implications for today.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding
(via sciencedaily.com) Original source A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Researchers outline promises, challenges of understanding AI for biological discovery
(via sciencedaily.com) Original source 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 Record-breaking recovery of rocks that originated in Earth's mantle could reveal secrets of planet's history
(via sciencedaily.com) Original source Scientists have recovered the first long section of rocks that originated in the Earth's mantle, the layer below the crust and the planet's largest component. The rocks will help unravel the mantle's role in the origins of life on Earth, the volcanic activity generated when it melts, and how it drives the global cycles of important elements such as carbon and hydrogen.
Published Water delivered to the mantle by aluminum enriched hydrated slabs?
(via sciencedaily.com) Original source Researchers found a notable effect of aluminum on the sound velocities of superhydrous phase B, a dense hydrous magnesium silicate and potential host of water in the deep Earth. Their results suggest that aluminous phase B could explain seismic velocity anomalies in the Earth's mantle transition region and uppermost lower mantle.