Euclidean data? When it comes to graphs, networks, and 3D data, conventional deep learning approaches are entir ...

In recent years, artificial intelligence (AI) and the Internet of Things have progressed rapidly, driving advancements in ...

The mathematical foundations of deep learning have been crucial in driving the field's advancements and potential future breakthroughs ...

The field of data science is evolving rapidly, driven by cutting-edge research in machine learning, artificial intelligence, ...

Recognized with the prestigious "Data Science Excellence Award by Business Mint Nationwide Awards 2024", Tejas has ...

A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training ...

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors, from healthcare and finance to energy ...

Artificial Intelligence (AI) and automation are central to Industry 4.0, driving complex decision-making, optimization, and ...

Conceived an internationa research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for ...

A research team from Beihang University and Tsinghua University has demonstrated that integrating learnable neural units with ...

This review covers advancements in cancer detection using deep learning, focusing on various imaging techniques. The research ...