Showing 20 articles starting at article 601
Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Explainable AI-based physical theory for advanced materials design
(via sciencedaily.com) Microscopic image data is key to developing low-power, high-speed electronic devices. However, the complex interactions in nanoscale magnetic materials are difficult to understand. A research group has now realized a new functional design theory called 'extended Landau free energy model' that combines topology and AI with free energy to automate the interpretation of the microscopic image. This model illustrates the physical mechanism and critical location of magnetization reversal and proposes a device structure with low energy consumption.
Published A simpler path to better computer vision
(via sciencedaily.com) Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.
Published Glass-like shells of diatoms help turn light into energy in dim conditions
(via sciencedaily.com) A new study has revealed how the glass-like shells of diatoms help these microscopic organisms perform photosynthesis in dim conditions. A better understanding of how these phytoplankton harvest and interact with light could lead to improved solar cells, sensing devices and optical components.
Published Scientists promote FAIR standards for managing artificial intelligence models
(via sciencedaily.com) Computational scientists adopt new framework for making AI models more findable, accessible, interoperable and reusable.
Published How network pruning can skew deep learning models
(via sciencedaily.com) Computer science researchers have demonstrated that a widely used technique called neural network pruning can adversely affect the performance of deep learning models, detailed what causes these performance problems, and demonstrated a technique for addressing the challenge.
Published Machine learning, from you
(via sciencedaily.com) Many computer systems people interact with on a daily basis require knowledge about certain aspects of the world, or models, to work. These systems have to be trained, often needing to learn to recognize objects from video or image data. This data often contains superfluous content that reduces the accuracy of models. So researchers found a way to incorporate natural hand gestures into the teaching process. This way, users can more easily teach machines about objects, and the machines can also learn more effectively.
Published Mathematicians explain how some fireflies flash in sync
(via sciencedaily.com) A new study by mathematicians shows that math borrowed from neuroscience can describe how swarms of these unique insects coordinate their light show, capturing key details about how they behave in the wild.
Published A faster experiment to find and study topological materials
(via sciencedaily.com) Researchers have found an efficient way to identify 'topological' materials, whose surfaces can have different electrical or functional properties than their interiors. The approach should make it easier uncover materials that could be the basis of next-generation computer chips or quantum devices.
Published Rewards only promote cooperation if the other person also learns about them
(via sciencedaily.com) Researchers show that reputation plays a key role in determining which rewarding policies people adopt. Using game theory, they explain why individuals learn to use rewards to specifically promote good behavior.
Published Unveiling the dimensionality of complex networks through hyperbolic geometry
(via sciencedaily.com) Original source Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is still a hard-to-solve problem. A new article presents a method to infer the dimensionality of complex networks through the application of hyperbolic geometrics, which capture the complexity of relational structures of the real world in many diverse domains.
Published Mathematical modeling suggests U.S. counties are still unprepared for COVID spikes
(via sciencedaily.com) Original source America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.
Published Music class in sync with higher math scores -- but only at higher-income schools
(via sciencedaily.com) Music and arts classes are often first on the chopping block when schools face tight budgets and pressure to achieve high scores on standardized tests. But it's precisely those classes that can increase student interest in school and even benefit their math achievement, according to a new study.