Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...
Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
In RNA-seq library preparation, selecting the appropriate number of PCR cycles is a critical balancing act to avoid overcycling.
US SMBs face financial problems from delayed payments. Real-time and instant payments help restore speed, certainty, ...
Conventional PCR systems require users to set a predetermined number of cycles based on assay- and sample-specific factors. When performing single-cell sequencing experiments, this requires knowledge ...
This study reports an important and novel finding that TENT5A, an enzyme involved in fine-tuning poly(A) tail length on selected mRNAs, is required for proper enamel mineralization in mice. The ...
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