Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the 'Company'), a technology service provider, has launched a groundbreaking technological achievement-a multi-class classification method based on ...

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...

The Qualcomm Snapdragon X2 Elite improves upon its predecessor in almost every way, with improved performance and efficiency ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...