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.

Engineers unveiled a novel computer chip that relies on light rather than electricity to execute one of the most ...

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 ...

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

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...