Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
eeworldonline

What are attention mechanisms, and how do they work in speech and audio processing?

Attention mechanisms are very useful innovations in the field of artificial intelligence (AI) for processing sequential data, especially in speech and audio applications. This FAQ talks about how ...
IEEE

Precision Meets Speed: An Attention Encoder–Decoder Network for Deforestation Segmentation

Abstract: Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network ...
valleycentral

NemaLife Unveils BioSēq™ to Decode Bioactive Mechanisms and Fast-Track Ingredient Innovation

BioSēq™ uses the Nobel-prize backed C. elegans model that has 60-80% genetic similarity with humans, and delivers mechanistic depth to complement the high-throughput phenotypic power of the Discovery ...
GitHub

WhitePegasis/Understanding-Transformer-Models

Transformers are the backbone of modern Large Language Models (LLMs) like GPT, BERT, and LLaMA. They excel at processing and generating text by leveraging intricate mechanisms like self-attention and ...