This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

The Central Board of Secondary Education(CBSE) will conduct the Secondary School Main Examinations (Class 10th Board Exam) from February 17 to March 10, 2026. The board exams will commence on February ...

This valuable study provides a large-scale EEG investigation into how visual deep neural networks (DNNs) and large language models (LLMs) differentially explain the temporal dynamics of visuo-semantic ...

Abstract: Direct preference optimization (DPO) methods for Large Language Models (LLMs) have emerged as an efficient alternative to Reinforcement Learning from Human Feedback (RLHF), owing to the ...

Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...

The Irish language, also known as Gaelic or Gaelige, is a Celtic language that has a rich and fascinating history. The origins of the Irish language can be traced back to the 4th century AD, when it ...

Spanish accents, tildes, and potentially other special characters from various languages are not displaying correctly in the Examples section only. This issue affects readability and data accuracy for ...

In a recent episode of his highly influential podcast, Joe Rogan declared what he sees as the latest triumph in the cultural battle over language: the return of the “R-word.” “Every time I see people ...