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…
