Key Takeaways Learn from top institutions like MIT, Harvard, and fast.ai for freeGain real-world AI skills using PyTorch and ...

Three recent studies by data-engineering specialist Swaminathan Sethuraman map out an efficiency agenda for the next ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

In this work, we propose a multi-scale convolutional neural network that restores sharp images in an end-to-end manner where blur is caused by various sources. Together, we present multi-scale loss ...

The following is a summary of “Deep learning-based system for automatic identification of benign and malignant eyelid tumours ...

The research details how socioeconomic and geographic barriers severely limit access to preventive healthcare in Brazil’s ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

To overcome these challenges, this study designed a deep learning (DL ... A novel model named periodontal disease classification network (PDCNET) based on convolutional neural network (CNN) has been ...

Animal research has always walked a tightrope between necessity and controversy. It has yielded critical breakthroughs in ...

The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...