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 ...

Taye, M.M. (2023) Theoretical Understanding of Convolutional Neural Network Concepts, Architectures, Applications, Future Directions. Computation, 11, Article 52.

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 ...

This comprehensive guide delves into decoder-based Large Language Models (LLMs), exploring their architecture, innovations, and applications in natural language processing. Highlighting the evolution ...

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 ...