Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

The United States and Israel launch coordinated strikes on Iran, escalating regional tensions, while Washington moves to ...

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Abstract: Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value function estimates for states or state-action pairs using a TD target. This target ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

In the UAE’s rapidly evolving digital economy, deploying AI does not shift responsibility away from corporate leadership ...

AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Questions of authorship have long haunted modern and contemporary art, but the arrival of computational systems has sharpened them into something more urgent.

Synopsys stock analysis: wide moat, AI-driven chip complexity growth, and Ansys deal impact. Read more macro analysis here.