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Categories: Computer Science: General, Environmental: Wildfires
Published Neural networks made of light



Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.
Published Forest carbon storage has declined across much of the Western U.S., likely due to drought and fire



Forests have been embraced as a natural climate solution, due to their ability to soak up carbon dioxide from the atmosphere as they grow, locking it up in their trunks, branches, leaves, and roots. But a new study confirms widespread doubts about the potential for most forests in the Western US to help curb climate change. The paper analyzed trends in carbon storage across the American West from 2005 to 2019.
Published How risk-averse are humans when interacting with robots?



How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans? These are the questions that a team of mechanical engineers and computer scientists sought to answer in a recent study.
Published Researchers introduce generative AI for databases



Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Published Detecting defects in tomorrow's technology



New research offers an enhanced understanding of common defects in transition-metal dichalcogenides (TMDs) -- a potential replacement for silicon in computer chips -- and lays the foundation for etching smaller features.
Published Diagnosing different forms of dementia now possible using artificial intelligence



Ten million new cases of dementia are diagnosed each year but the presence of different dementia forms and overlapping symptoms can complicate diagnosis and delivery of effective treatments. Now researchers have developed an AI tool that can diagnose ten different types of dementia such as vascular dementia, Lewy body dementia, and frontotemporal dementia, even if they co-occur.
Published A 2D device for quantum cooling



Engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.
Published A genetic algorithm for phononic crystals



Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published New and improved camera inspired by the human eye



Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.
Published New computational microscopy technique provides more direct route to crisp images



A new computational microscopy technique solves for true high-resolution images without the guesswork that has limited the precision of other techniques.
Published Wireless receiver blocks interference for better mobile device performance



Researchers developed a new wireless receiver that can block strong interference signals at the earliest opportunity, which could improve the performance of a mobile device.
Published Researchers develop fastest possible flow algorithm



Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for any type of network. It thus solves a key question in theoretical computer science. The superfast algorithm also lays the foundation for efficiently computing very large and dynamically changing networks in the future.
Published Understanding quantum states: New research shows importance of precise topography in solid neon qubits



A new study shows new insight into the quantum state that describes the condition of electrons on an electron-on-solid-neon quantum bit, information that can help engineers build this innovative technology.
Published Mechanical computer relies on kirigami cubes, not electronics



Researchers have developed a kirigami-inspired mechanical computer that uses a complex structure of rigid, interconnected polymer cubes to store, retrieve and erase data without relying on electronic components. The system also includes a reversible feature that allows users to control when data editing is permitted and when data should be locked in place.
Published Balancing act: Novel wearable sensors and AI transform balance assessment



Traditional methods to assess balance often suffer from subjectivity, aren't comprehensive enough and can't be administered remotely. They also are expensive and require specialized equipment and clinical expertise. Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis. This approach is more accessible and can be administered remotely, which could have significant implications for health care, rehabilitation, sports science or other fields where balance assessment is important.
Published Researchers develop new training technique that aims to make AI systems less socially biased



Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.
Published Next platform for brain-inspired computing



Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.
Published Wildfires increasingly threaten oil and gas drill sites, compounding potential health risks



More than 100,000 oil and gas wells across the western U.S. are in areas burned by wildfires in recent decades, a new study has found, and some 3 million people live next to wells that in the future could be in the path of fires worsened by climate change.
Published Fuel treatments reduce future wildfire severity



There is a common belief that prescribed burning, thinning trees, and clearing underbrush reduce risks of the severity of future fires. But is that true? A new project analyzing 40 studies where wildfire burned into different vegetation treatments, spanning 11 western states. Researchers found overwhelming evidence that in seasonally dry mixed conifer forests in the western U.S., reducing surface and ladder fuels and tree density through thinning, coupled with prescribed burning or pile burning, could reduce future wildfire severity by more than 60% relative to untreated areas.