Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has introduced the RA8P1 microcontroller ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...

Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics.

Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Research team from Shandong University introduced MetaGIN, a lightweight deep learning framework for molecular property ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation.