A Psychologist Shares A Science-Inspired Quiz To Test If You’re A ‘Pattern-Seer’

There's a line of thought that equates intelligence with “pattern recognition.” How do you stack up on this unique cognitive ...

The enterprise voice AI split: Why architecture — not model quality — defines your compliance posture

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...
News-Medical.Net on MSN

NSLLMs: Bridging neuroscience and LLMs for efficient, interpretable AI systems

NSLLM bridges LLMs and neuroscience Large language models (LLMs) have become crucial tools in the pursuit of artificial ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
AZoOptics on MSN

New model deepens the understanding of how materials alter light polarization

This study presents an elliptical retarder model, enhancing polarization analysis and offering a robust framework for interpreting complex material structures.
National Hockey League

Blues partner with FanDuel Sports Network, Gray Media to simulcast select games

Four games will be available in the Blues broadcast territory on FanDuel Sports Network, KMOV First Alert 4, Matrix Midwest and affiliate broadcast stations across five states ...
IEEE

Data-Driven Discrete-Time Linear Output Regulation With Unknown System Matrices

Abstract: This article investigates a data-driven method to solve the discrete-time linear output regulation problem. Different from existing learning-based data-driven solutions, we adopt the ...
IEEE

Tighter Interval Estimation for Discrete-Time Linear Systems With a New Dynamic Triggering Approach

Abstract: This article is concerned with interval estimation for discrete-time linear systems with unknown disturbances. An improved proportional-integral configuration is built for an iterative ...