New research introduces a method to improve the accuracy and speed of dynamic emotion recognition using a convolutional neural network (CNN) to...
Vous n'êtes pas connecté
Researchers have demonstrated a novel image compression tool that combines recursive algorithms with convolutional neural networks (CNNs) to out-perform other approaches to the compression of images from computer art and interaction design. The research is published in the International Journal of Computational Systems Engineering.
New research introduces a method to improve the accuracy and speed of dynamic emotion recognition using a convolutional neural network (CNN) to...
New research introduces a method to improve the accuracy and speed of dynamic emotion recognition using a convolutional neural network (CNN) to...
Biological systems have fascinated computer scientists for decades with their remarkable ability to process complex information, adapt, learn, and...
Researchers from LMU, the ORIGINS Excellence Cluster, the Max Planck Institute for Extraterrestrial Physics (MPE), and the ORIGINS Data Science Lab...
A team of Mayo Clinic researchers has developed an innovative computational tool that analyzes the gut microbiome, a complex ecosystem of trillions of...
Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus...
Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus...
Developing large-scale neural network models that mimic the brain's activity is a major goal in the field of computational neuroscience. Existing...
Developing large-scale neural network models that mimic the brain's activity is a major goal in the field of computational neuroscience. Existing...
Fruit flies walking on miniature treadmills are helping scientists learn how the nervous system enables animals to move in an unpredictable and...