Abstract: For the Belief Propagation (BP) algorithm of low-density parity-check (LDPC) codes, existing deep learning methods have a limited performance improvement and it is difficult to train ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...
Abstract: This work presents a reconfigurable quasi-cyclic low-density parity-check (QC-LDPC) decoder supporting NAND flash memories with codeword lengths up to 4 kB. The proposed design provides ...
git clone https://github.com/ZichengXu/Decoding-Tree-Sketching.git cd Decoding-Tree-Sketching conda create -n dts python=3.10 conda activate dts pip install -e . This ...
A character-level Transformer trained on Tiny Shakespeare (GPTModel01.ipynb). A GPT-style, token-level Transformer with a minimal training loop and sampling (train_gpt2.ipynb). This repository is ...
Introduction: Prospective memory (PM)—the ability to form, maintain, and execute delayed intentions—is essential for everyday functioning. Traditionally, PM paradigms relied on repetitive tasks and ...
Biohacking has gone mainstream: What began with fitness trackers and sleep apps now includes hardware implants, with 67% of Americans in a recent survey identifying… ...
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