The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.

A multi-stage malware loader known as OysterLoader has continued to evolve into early 2026, refining its command-and-control (C2) infrastructure and obfuscation methods.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Customizable OEM/ODM audio development and scalable production support buyers across the United States, including ...

Secure your MCP metadata streams with post-quantum encryption and AI-driven anomaly detection. Learn to stop puppet attacks and tool poisoning in AI infrastructure.

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

The fragility and laws of quantum physics generally make the characterization of quantum systems time‑consuming. Furthermore, ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.