查看更多>>摘要：JMIR Publications is pleased to announce a new theme issue titled “Machine Learning- Based Predictive Models Using Genomic Data” in JMIR Bioinformatics and Biotechnology. The peer-reviewed journal is indexed in SCOPUS and focused on research in bioinformatics, computational biology, and biotechnology. This new theme issue aims to explore cutting-edge research at the intersection of machine learning and genomics, fostering advancements in predictive modeling for biological insights. JMIR Bioinformatics and Biotechnology welcomes contributions from global researchers, educators, and practitioners. We encourage submissions exploring diverse aspects of bioinformatics and biotechnology, with a focus on, but not limited to, the following topics: Contributors are encouraged to submit their work by May 15, 2024. All submissions will undergo rigorous peer review, and accepted articles will be published as part of the theme issue titled “Machine Learning-Based Predictive Models Using Genomic Data” in the journal JMIR Bioinformatics and Biotechnology. To learn more please view the full call for papers here.
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting from Reggio Emilia, Italy, by NewsRx journalists, research stated, “Industrial Robots (IR) are currently employed in several production areas as they enable flexible automation and high productivity on a wide range of operations. The IR low positioning performance, however, has limited their use in high precision applications, namely where positioning errors assume importance for the process and directly affect the quality of the final products.” Financial support for this research came from European Community. The news correspondents obtained a quote from the research from the University of Modena and Reggio Emilia, “Common approaches to increase the IR accuracy rely on empirical relations which are valid for a single IR model. Also, existing works show no uniformity regarding the experimental procedures followed during the IR performance assessment and identification phases. With the aim to overcome these 1 restrictions and further extend the IR usability, this paper presents a general method for the evaluation of IR pose and path accuracy, primarily focusing on instrumentation and testing procedures. After a detailed description of the experimental campaign carried out on a KUKA KR210 R2700 Prime robot under different operating conditions (speed, payload and temperature state), a novel online compensation approach is presented and validated. The position corrections are processed with an industrial PC by means of a purposely developed application which receives as input the position feedback from a laser tracker.”
查看更多>>摘要：Fresh data on computational intelligence are presented in a new report. According to news reporting from Zhejiang, People's Republic of China, by NewsRx journalists, research stated, “Sentences are composed of words, phrases, and clauses. The relationship between them is usually tree- like.” Our news correspondents obtained a quote from the research from Ningbo University: “In the hierarchical structure of the sentence, the dependency relationships between different components affect the syntactic structure. Syntactic structure is very important for understanding the meaning of the whole sentence. However, the gated recursive unit (GRU) models cannot fully encode hierarchical syntactic dependencies, which leads to its poor performance in various natural language tasks. In this paper, a model called relative syntactic distance bidirectional gated recursive unit (RSD-BiGRU) is constructed to capture syntactic structure dependencies. The model modifies the gating mechanism in GRU through relative syntactic distance. It also offers a transformation gate to model the syntactic structure more directly. Embedding sentence meanings with sentence structure dependency into dense vectors.”
查看更多>>摘要：New research on Computation - Neural Computation is the subject of a report. According to news reporting out of Waterloo, Canada, by NewsRx editors, research stated, “Under difficult viewing conditions, the brain's visual system uses a variety of recurrent modulatory mechanisms to augment feedforward processing. One resulting phenomenon is contour integration, which occurs in the primary visual (V1) cortex and strengthens neural responses to edges if they belong to a larger smooth contour.” Our news journalists obtained a quote from the research from the University of Waterloo, “Computational models have contributed to an understanding of the circuit mechanisms of contour integration, but less is known about its role in visual perception. To address this gap, we embedded a biologically grounded model of contour integration in a task-driven artificial neural network and trained it using a gradient-descent variant. We used this model to explore how brain-like contour integration may be optimized for high-level visual objectives as well as its potential roles in perception. When the model was trained to detect contours in a background of random edges, a task commonly used to examine contour integration in the brain, it closely mirrored the brain in terms of behavior, neural responses, and lateral connection patterns. When trained on natural images, the model enhanced weaker contours and distinguished whether two points lay on the same versus different contours. The model learned robust features that generalized well to out-of-training-distribution stimuli. Surprisingly, and in contrast with the synthetic task, a parameter-matched control network without recurrence performed the same as or better than the model on the natural-image tasks. Thus, a contour integration mechanism is not essential to perform these more naturalistic contour-related tasks.”
查看更多>>摘要：Data detailed on Artificial Intelligence have been presented. According to news reporting out of Odense, Denmark, by NewsRx editors, the research stated, “AI-enabled smart objects have rapidly become everyday commodities and do not only change the ways in which we consume but also the ethics that guide our consumption.” Our news journalists obtained a quote from the research from the University of Southern Denmark, “Emerging sociomaterial perspectives viewing consumers and smart objects as assemblages have been employed to study relational aspects of consumption, as well as consumer experience in the digital reality. This article argues that consumer ethics could and should be viewed as emergent properties of such consumption assemblages.”
查看更多>>摘要：New study results on artificial intelligence have been published. According to news originating from Xinxiang, People's Republic of China, by NewsRx correspondents, research stated, “Image aesthetics processing (IAP) is used primarily to enhance the aesthetic quality of images.” Funders for this research include National Natural Science Foundation of China; Science And Technology Research Project of Henan Province. Our news correspondents obtained a quote from the research from Henan Normal University: “However, IAP faces several issues, including its failure to analyze the influence of visual scene information and the difficulty of deploying IAP capabilities to mobile devices. This study proposes an automatic IAP system (IAPS) for mobile devices that integrates machine learning and traditional image-processing methods. First, we employ an extremely computation-efficient deep learning model, ShuffleNet, designed for mobile devices as our scene recognition model. Then, to enable computational inferencing on resource-constrained edge devices, we use a modern mobile machine-learning library, TensorFlow Lite, to convert the model type to TFLite format. Subsequently, we adjust the image contrast and color saturation using group filtering, respectively. These methods enable us to achieve maximal aesthetic enhancement of images with minimal parameter adjustments.”
查看更多>>摘要：New study results on robotics have been published. According to news reporting out of Baghdad, Iraq, by NewsRx editors, research stated, “For the first time, dual-performance perfection technologies were used to kinematically operate sophisticated robots. In this study, the trajectory development of a robot arm is optimized using a dual-performance perfection technique.” Our news journalists obtained a quote from the research from University of Information Technology and Communications: “The proposed approach alters the robot arm's Kinematics by creating virtual points even if the robotic system is not redundant to make it kinematically suitable for biomedical applications. In the suggested method, an appropriate objective function is chosen to raise one or maybe more performance measures while lowering one or more kinematic characteristics of a robot arm. The robot arm's end effector is set in place at the crucial locations, and the dual performance precision algorithm changes the joints and virtual points due to the robot arm's self-motion. As a result, the ideal values for the virtual points are established, and the robot arm's design is changed. Accordingly, this method's ability to visualize modifications made to the processor's design during the optimization problem is one of its benefits. The active robotic arm is used as a case study in this article.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting out of Seville, Spain, by NewsRx editors, research stated, “Thermal and electronic transport properties are the keys to many technological applications of materials. Thermoelectric, TE, materials can be considered a singular case in which not only one but three different transport properties are combined to describe their performance through their TE figure of merit,.” Our news journalists obtained a quote from the research from the University of Sevilla, “Despite the availability of high-throughput experimental techniques, synthesizing, characterizing, and measuring the properties of samples with numerous variables affecting are not a cost- or time-efficient approach to lead this strategy. The significance of computational materials science in discovering new TE materials has been running in parallel to the development of new frameworks and methodologies to compute the electron and thermal transport properties linked to. Nevertheless, the trade-off between computational cost and accuracy has hindered the reliable prediction of TE performance for large chemical spaces. In this work, we present for the first time the combination of new ab initio methodologies to predict transport properties with machine learning and a high-throughput framework to establish a solid foundation for the accurate prediction of thermal and electron transport properties. This strategy is applied to a whole family of materials, binary skutterudites, which are well-known as good TE candidates.”
查看更多>>摘要：Investigators discuss new findings in robotics. According to news reporting originating from Zapopan, Mexico, by NewsRx correspondents, research stated, “This paper presents a geometric approach to solve the inverse kinematics for an anthropomorphic robotic arm with seven degrees of freedom (DoF).” Our news editors obtained a quote from the research from School of Engineering and Science: “The proposal is based on conformal geometric algebra (CGA), by which many geometric primitives can be operated naturally and directly. CGA allows for the intersection of geometric entities such as two or more spheres or a plane's projection over a sphere. Rigid transformations of such geometric entities are performed using only one operation through another geometric entity called a motor.” According to the news editors, the research concluded: “CGA imposes geometric restrictions on the inverse kinematics solution, which avoids computation of the forward kinematics or other numerical solutions, unlike traditional approaches. Comparisons with state-of-the-art algorithms are included to prove our algorithm's superior performance: such as decreased execution time and errors of the end-effector for a series of desired poses.”
查看更多>>摘要：Research findings on robotics are discussed in a new report. According to news originating from Union City, California, by NewsRx correspondents, research stated, “Robot grasping constitutes an essential capability in fulfilling the complexities of advanced industrial operations.” The news reporters obtained a quote from the research from FANUC America Corporation: “This field has been extensively investigated to address a range of practical applications. However, the generation of a stable grasp remains challenging, principally due to the constraints imposed by object geometries and the diverse objectives of the tasks. In this work, we propose a novel learning from demonstration-based graspplanning framework. This framework is designed to extract crucial human grasp skills, namely the contact region and approach direction, from a single demonstration. Then, it formulates an optimization problem that integrates the extracted skills to generate a stable grasp. Distinct from conventional methods that rely on learning implicit synergies through human demonstration or on mapping the dissimilar kinematics between human hands and robot grippers, our approach focuses on learning the intuitive human intent that involves the potential contact regions and the grasping approach direction.”
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