In 2025, the S&P Kensho Global Space Index ended 2025 up 57.79%, outperforming both the S&P 500 and the S&P Global BMI. Read ...
Large pre-trained language models have become a crucial backbone for many downstream tasks in natural language processing (NLP), and while they are trained on a plethora of data containing a variety ...
Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...
ABSTRACT: The Hodge conjecture states that the Hodge group of Hodge classes is equal to the algebraic group generated by algebraic subvarieties on a Hodge manifold. To prove the conjecture, we ...
When considering the scientists who influenced our understanding of evolution, it’s natural to think of Charles Darwin, Gregor Mendel, Rosalind Franklin, W.D. Hamilton, Barbara McClintock, and Richard ...
Abstract: Natural Language Processing (NLP) operations, such as semantic sentiment analysis and text synthesis, often raise privacy concerns and demand significant on-device computational resources.
Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
Abstract: The advancement in information technology has been on the increase in the recent past with the expansion of text data dissemination in the form of news, medical reports, product reviews, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results