A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Google is offering free AI courses that can help professionals and students to upskill themselves. From introduction into LLMs to generative AI, these courses equip learners with skills needed to ...

Abnormal defect pattern detection plays a key role in preventing yield loss excursion events for the semiconductor manufacturing. We present a method for detecting and segmenting abnormal wafer map ...

In this paper, we introduce REDN: A Recursive Encoder-Decoder Network with Skip-Connections for edge detection in natural images. The proposed network is a novel integration of a Recursive Neural ...

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

This ensures that any findings within this category hold true for a subset of commonly encountered neural network architectures. Subsequently, they scrutinize the distinctive features of Transformer ...