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Categories: Computer Science: General, Ecology: Invasive Species
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms


Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published Study reveals successful strategies for removing invasive caimans from Florida Everglades


A new study reveals how a succession of strategies can take control of an invasive species population.
Published AI transformation of medicine: Why doctors are not prepared


The success of artificial intelligence technologies depends largely on how physicians interpret and act upon a tool's risk predictions -- and that requires a unique set of skills that many are currently lacking, according to a new perspective article.
Published Modified virtual reality tech can measure brain activity


The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain's electrical activity during the immersive VR interactions.
Published Deep learning for new protein design


Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published Tropical trees use social distancing to maintain biodiversity



Tropical forests can harbor hundreds of species of trees in one square mile. Researchers reveal key factors in the spatial distribution of adult trees.
Published Denial of service threats detected thanks to asymmetric behavior in network traffic


Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.
Published Scientists dig into wildfire predictions, long-term impacts



Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. Scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Sea level rise shifts habitat for endangered Florida Keys species



A newly published study describes the response to sea level rise by the silver rice rat, an endangered species only found in the Florida Keys.
Published Thermal imaging innovation allows AI to see through pitch darkness like broad daylight


Engineers have developed HADAR, or heat-assisted detection and ranging.
Published Google and ChatGPT have mixed results in medical informatiom queries


Computer scientists found that queries for medical information about dementia disease on ChatGPT provided more objective results than similar queries on Google, but both services have strengths and weaknesses. Google provided the most current information, but the query results are skewed by service and product providers seeking customers, the researchers found. ChatGPT, meanwhile, provides more objective information, but it can be outdated and lacks the sources of its information in its narrative responses.
Published Nuisance vegetation removal in Senegalese waterways reduces the overall prevalence of parasitic infections and increases local food production



It's an elegant solution: Remove the habitat of a parasite-carrying aquatic snail and reduce the level of infection in the local community; all while generating more feed and compost for local farmers.
Published When cheating pays -- survival strategy of insect uncovered



Researchers have revealed the unique 'cheating' strategy a New Zealand insect has developed to avoid being eaten -- mimicking a highly toxic species.
Published Plans to plant billions of trees threatened by massive undersupply of seedlings



Major government and private funding is being invested in planting trees as a powerful tool to fight climate change. But new research shows a troubling bottleneck that could threaten these efforts: U.S. tree nurseries don't grow close to enough trees--nor have the species diversity needed--to meet ambitious planting and restoration goals.
Published That's funny -- but AI models don't get the joke


Using hundreds of entries from the New Yorker magazine's Cartoon Caption Contest as a testbed, researchers challenged AI models and humans with three tasks: matching a joke to a cartoon; identifying a winning caption; and explaining why a winning caption is funny.
Published 3D display could soon bring touch to the digital world


Engineers have designed a new, shape-shifting display that can fit on a card table and allows users to draw 3D designs and more.
Published Researchers successfully train a machine learning model in outer space for the first time



Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published Reinforcement learning allows underwater robots to locate and track objects underwater


A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Published 'Time-traveling' pathogens in melting permafrost pose likely risk to environment



Ancient pathogens that escape from melting permafrost have real potential to damage microbial communities and might potentially threaten human health, according to a new study.