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

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

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

A simple change to the attention mechanism can make LLMs much more effective at finding relevant information in their context ...

As machine learning continues to revolutionize various industries, traditional neural networks face limitations when dealing ...

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

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

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 ...

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

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