Genomic language models represent a significant development in genomics, interpreting vast amounts of genomic data and allowing scientists to extract valuable insights that contribute to personalized treatment methods, mutation identification, and gene function discovery. In particular, the pre-training of the genomic language model, HyenaDNA, using genomic data in the AWS Cloud, holds immense potential for…
Researchers from Meta's FAIR, INRIA, Université Paris Saclay, and Google are working on ways to automatically curate high-quality datasets to improve self-supervised learning (SSL). SSL enables models to be trained without human annotations, expanding data and model scalability, but its success often requires careful data curation. The team proposes a clustering-based technique involving hierarchical k-means…
Artificial Intelligence (AI) technologies continue to push the boundaries of what is possible in home and workplace applications, particularly in data-intensive tasks like using Microsoft Excel. AI-driven tools help streamline Excel processes, enabling users to manage large and complex datasets efficiently. These tools can clean up disorganized data, identify patterns, and offer recommendations to improve…