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Categories: Computer Science: General, Mathematics: Modeling
Published New and improved camera inspired by the human eye
(via sciencedaily.com) Original source 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 AI model finds the cancer clues at lightning speed
(via sciencedaily.com) Original source AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published New computational microscopy technique provides more direct route to crisp images
(via sciencedaily.com) Original source A new computational microscopy technique solves for true high-resolution images without the guesswork that has limited the precision of other techniques.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise
(via sciencedaily.com) Original source Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.
Published Wireless receiver blocks interference for better mobile device performance
(via sciencedaily.com) Original source 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 Study reveals why AI models that analyze medical images can be biased
(via sciencedaily.com) Original source Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published Researchers develop fastest possible flow algorithm
(via sciencedaily.com) Original source 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 New deep-learning model outperforms Google AI system in predicting peptide structures
(via sciencedaily.com) Original source Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
Published Understanding quantum states: New research shows importance of precise topography in solid neon qubits
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Researchers engineer AI path to prevent power outages
(via sciencedaily.com) Original source Researchers developed an artificial intelligence (AI) model that could help electrical grids prevent power outages by automatically rerouting electricity in milliseconds. The approach is an early example of 'self-healing grid' technology, which uses AI to detect and repair problems such as outages autonomously and without human intervention when issues occur, such as storm-damaged power lines.
Published Prying open the AI black box
(via sciencedaily.com) Original source Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.
Published Unifying behavioral analysis through animal foundation models
(via sciencedaily.com) Original source Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.
Published Can AI learn like us?
(via sciencedaily.com) Original source Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published A railroad of cells
(via sciencedaily.com) Original source Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach now shows how they do this and how they interact with each other.
Published Researchers leverage shadows to model 3D scenes, including objects blocked from view
(via sciencedaily.com) Original source A new technique can model an entire 3D scene, including areas hidden from view, from just one camera image. The method relies on image shadows, which provide information about the geometry and location of hidden objects.
Published Breakthrough may clear major hurdle for quantum computers
(via sciencedaily.com) Original source The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.