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Categories: Computer Science: General, Ecology: Extinction
Published How sharks survived a major spike in Earth's temperature
(via sciencedaily.com) Original source The sharks we know today as the open ocean's top predators evolved from stubby bottom dwellers during a dramatic episode of global warming millions of years ago.
Published Children's visual experience may hold key to better computer vision training
(via sciencedaily.com) Original source A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.
Published This self-powered sensor could make MRIs more efficient
(via sciencedaily.com) Original source MRI scans are commonly used to diagnose a variety of conditions, anything from liver disease to brain tumors. But, as anyone who has been through one knows, patients must remain completely still to avoid blurring the images and requiring a new scan. A prototype device could change that. The self-powered sensor detects movement and shuts down an MRI scan in real time, improving the process for patients and technicians.
Published New coral disease forecasting system
(via sciencedaily.com) Original source Research has led to a new tool for forecasting coral disease that could help conservationists step in at the right times with key interventions. Ecological forecasts are critical tools for conserving and managing marine ecosystems, but few forecasting systems can account for the wide range of ecological complexities in near-real-time.
Published AI saving humans from the emotional toll of monitoring hate speech
(via sciencedaily.com) Original source A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.
Published Musankwa sanyatiensis, a new dinosaur from Zimbabwe
(via sciencedaily.com) Original source Fossils found on the shoreline of Lake Kariba in Zimbabwe represent a completely new dinosaur species. This remarkable find, named Musankwa sanyatiensis, marks only the fourth dinosaur species named from Zimbabwe.
Published Generative AI to protect image privacy
(via sciencedaily.com) Original source Image privacy could be protected with the use of generative artificial intelligence. Researchers created a system which replaces parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. Named 'generative content replacement,' in tests, 60% of viewers couldn't tell which images had been altered. The researchers intend for this system to provide a more visually cohesive option for image censoring, which helps to preserve the narrative of the image while protecting privacy.
Published Researchers apply quantum computing methods to protein structure prediction
(via sciencedaily.com) Original source Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.
Published Theoretical quantum speedup with the quantum approximate optimization algorithm
(via sciencedaily.com) Original source Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.
Published Modular, scalable hardware architecture for a quantum computer
(via sciencedaily.com) Original source Researchers demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This 'quantum-system-on-chip' (QSoC) architecture enables them to precisely tune and control a dense array of qubits.
Published Bio-inspired cameras and AI help drivers detect pedestrians and obstacles faster
(via sciencedaily.com) Original source Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.
Published AI helps medical professionals read confusing EEGs to save lives
(via sciencedaily.com) Original source Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.
Published What makes some plant groups so successful?
(via sciencedaily.com) Original source Researchers involved in cataloguing the world's plant species are hunting for answers as to what makes some groups of plants so successful. One of their major goals is to predict more accurately which lineages of flowering plants -- some of which are of huge importance to people and to ecosystems -- are at a greater risk from global climate change.
Published Fatal attraction: When endangered species try to mate with domestic relatives, both wildlife and people lose
(via sciencedaily.com) Original source Sticks and stones aren't enough to thwart biological attraction, but sometimes those are the only tools available to pastoralists trying to prevent wildlife from eloping with their livestock. A new study brings awareness to both the human impacts of these encounters -- ranging from economic loss to death -- and conservation concerns for the wild animals that are often endangered.
Published Some species may tolerate climate change better than expected
(via sciencedaily.com) Original source A new model reassesses the proportion of terrestrial and marine species threatened with extinction by climate change. While the forecasts of traditional models estimate that the diversity of terrestrial species in tropical areas could decrease by 54% between now and 2041-2060, this model is more moderate, predicting a decrease of 39%. Nevertheless, this proportion remains alarming and confirms the importance of taking urgent measures to mitigate climate change and its impact on biodiversity.
Published Slugs and snails love the city, unlike other animals
(via sciencedaily.com) Original source Most native species avoid more urbanized areas of Los Angeles, but slugs and snails may actually prefer these environments, according to a new study.
Published Wild megalopolis: Study shows unexpected pockets of biodiversity pepper Los Angeles
(via sciencedaily.com) Original source Researchers, in partnership with the city of Los Angeles, have developed the urban association index to help identify how well or poorly individual wildlife species are doing in the city. The researchers found unexpected pockets of biodiversity deep in the city, but they say it will still be a challenge to elevate Los Angeles' overall level of biodiversity.
Published Marine Protected Areas don't line up with core habitats of rare migratory fish, finds new research
(via sciencedaily.com) Original source 62% of Marine Protected Areas (MPAs) designated to protect rare migratory fish species are outside of their core habitats, according to a new modeling study.
Published Bringing back an ancient bird
(via sciencedaily.com) Original source Using ancient DNA extracted from the toe bone of a museum specimen, biologists have sequenced the genome of an extinct, flightless bird called the little bush moa, shedding light into an unknown corner of avian genetic history. The work is the first complete genetic map of the turkey-sized bird whose distant living cousins include the ostrich, emu, and kiwi.
Published Tracking animals without markers in the wild
(via sciencedaily.com) Original source Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.