Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...