Showing 20 articles starting at article 1
Categories: Ecology: Trees, Mathematics: Modeling
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 Next time you beat a virus, thank your microbial ancestors
(via sciencedaily.com) Original source When you get infected with a virus, some of the first weapons your body deploys to fight it were passed down to us from our microbial ancestors billions of years ago. According to new research, two key elements of our innate immune system came from a group of microbes called Asgard archaea.
Published Environmental laws failing to slow deforestation
(via sciencedaily.com) Original source Australia's environmental laws are failing to stop high rates of tree clearing to make way for agriculture, development and mining.
Published 'Masters of shape-shifting': How darkling beetles conquered the world
(via sciencedaily.com) Original source Large-scale genomic analysis of darkling beetles, a hyper-diverse insect group of more than 30,000 species worldwide, rolls back the curtain on a 150-million-year evolutionary tale of one of Earth's most ecologically important yet inconspicuous creatures, according to new research.
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 Less severe forest fires can reduce intensity of future blazes
(via sciencedaily.com) Original source Low- and moderate-severity forest wildfires can reduce the intensity of future fires, according to new research on 'reburns.'
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 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 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 Study reveals urban trees suffer more from heat waves and drought than their rural counterparts
(via sciencedaily.com) Original source A recent study details how trees in New York City and Boston are more negatively impacted by heat waves and drought than trees of the same species in nearby rural forests. The finding highlights the challenges urban trees face in the context of climate change and underscores the importance of tailored urban forestry management as a tool for protecting tree species and reducing urban heat islands.
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 Mature forests vital in frontline fight against climate change
(via sciencedaily.com) Original source Mature forests have a key role to play in the fight against climate change -- extracting carbon dioxide (CO2) from the atmosphere and locking it into new wood.
Published New genetically engineered wood can store carbon and reduce emissions
(via sciencedaily.com) Original source Researchers genetically modified poplar trees to produce high-performance, structural wood without the use of chemicals or energy intensive processing.
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 A new way of thinking about the economy could help protect the Amazon, and help its people thrive
(via sciencedaily.com) Original source 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 Cracking the code of life: new AI model learns DNA's hidden language
(via sciencedaily.com) Original source 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 research sheds light on relationships between plants and insects in forest ecosystems
(via sciencedaily.com) Original source Researchers have published new findings on how leaf-eating insects affect forest ecosystems worldwide. Researchers are aware of how large herbivores cycle nutrients in forests. They know much less, however, about how leaf-eating insects impact forest carbon and nutrient cycling.