Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

Instagram is back with a new feature that will allow users to "tune" their algorithm to only display the content they prefer to see, which will be first made available to Reels. The feature is still ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Abstract: This study focuses on a numerical algorithm for noise reduction in discretely sampled observables from deterministic dynamical systems. The method utilises forecasting within the space ...

Public sector organizations are under relentless pressure to modernize and digitize. With citizens demanding better services and governments facing ever-evolving cyber threats, deploying public ...