Voice AI in banking: A strategic roadmap for financial institutions

Quiq reports that voice AI in banking enhances customer experience, improves operational efficiency, and automates inquiries ...

Why discarded brain 'noise' matters: Overlooked networks may reshape mental health treatment

Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A ...
Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
eLife

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Scientific Research Publishing

Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach ()

Wu, R. , Zhuang, L. and He, M. (2026) Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach. Open ...
Fierce Healthcare

Epic's AI scribe goes live as EHR giant touts strong adoption of built-in AI features

Epic is rapidly building out artificial intelligence tools integrated into its electronic health record solution as health IT companies strive to keep up with the dizzying speed of AI innovation. This ...
IEEE

Unified Bias Reduction in Federated Learning: A Two-Stage Feature and Label Space Disentanglement in Medical Image Analysis

Abstract: Federated learning, as a typical ensemble distributed machine learning framework, enables collaborative model training across decentralized data sources while preserving data privacy, which ...
IEEE

FedSM: Semantic-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data

Abstract: Federated Learning (FL) has emerged as a promising paradigm for decentralized machine learning, where a central server coordinates distributed clients to collaboratively train a global model ...
Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification ()

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...
Janesville Gazette

New 'harm reduction' vending machine placed at SSM-Health St. Mary's

JANESVILLE — SSM Health St. Mary’s Hospital — Janesville and Rock County Public Health this week unveiled a new harm reduction vending machine for the community. “All vending machine supplies are ...