A research team led by Prof. Xie Pinhua from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

Ian Buck helped secure Nvidia's market advantage by masterminding CUDA. What he does next is just as vital to the future of ...

The most innovative and disruptive enabler in Industry 5.0 is the emerging scope of state-of-the-art technology – Artificial ...

Despite sanctions, Chinese companies are forging ahead with AI. The Huawei AI stack is optimised to run on the CloudMatrix ...

This work presents a framework based on adaptive graph convolution network (AGCN) to process both 2D and 3D facial landmarks extracted from the input RGB image. The network has a two-streams ...

A key application often envisioned for neuromorphic technology is to implement similarly brain-inspired neural networks, the ...

Convolutional Neural Networks (ConvNets or CNNs ... one of the biggest inventions of decade 2010s in deep learning community. A standard ConvNet architecture is typically made of 3 main layers that ...

Abstract: Convolutional Neural Networks (CNN ... classification using a combination of CNN and GNN networks to complement the drawbacks of CNN models. We propose a CNN-based 3D-Spectral Spatial ...

Artificial organ transplants have been held back by the difficulty of making networks of blood vessels - a problem scientists ...

Researchers at UNIST have developed an AI technology capable of reconstructing three-dimensional (3D) representations of ...

Engineers at the UCLA Samueli School of Engineering have introduced a universal framework for point spread function (PSF) engineering, enabling the synthesis of arbitrary, spatially varying 3D PSFs ...