Abstract: In this paper, we propose a good decoding performance, low-complexity, and high-speed decoder architecture for ultra-long quasi-cyclic LDPC codes by using the layered sum-product decoding ...
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Since its breakthrough in 2017 with the “Attention Is All You Need” paper, the Transformer model has redefined natural language processing. At its core lie two specialized components: the encoder and ...
Quantum computers can potentially be used to solve computational problems that are out of reach of classical computers. However, to achieve this, quantum computing architectures need to deal with the ...
Introduction: Manual tumor segmentation for personalized dosimetry is labor-intensive and subjected to inter-operator variations. Deep learning (DL) models like nnU-Net, developed for automatic ...
Abstract: Known adaptive logic modules (ALM) based on LUT elements, which, by setting up and connecting several LUTs, can implement the logic functions of five, six, seven, and even partially eight ...
Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in? When I wrote about GitHub Copilot ...
Generative AI has become the buzzword of 2023. Whether text-generating ChatGPT or image-generating Midjourney, generative AI tools have significantly impacted businesses and dominated the content ...
The high complexity of the human brain inherently underpins the incredible variety of cognitive, motor, and sensory functions. Measuring such complexity may help define a comprehensive feature able to ...