What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

The New Era of NFL Draft Preparation with AI-Powered Strategies In today’s fast-paced sports landscape, NFL teams are constantly seeking ...

Abstract: Speech Emotion Recognition (SER) remains challenging under speaker variability, recording conditions, and multi-dataset evaluation. To capture both local and global dependencies in emotional ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...

The art expert is the fulcrum of all value and significance in the museum and auction world. Could AI supplant them?

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

Abstract: Utilizing multi-view infrared images to collaboratively identify the types of surface ship targets is a feasible approach in practice. This paper proposes a fine-grained object recognition ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...

A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.