An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

The jointly developed system introduces a fully functional touchless control system based on neural human–machine interface (“HMI”) designed to enable users to control tactical communication, ...

AI, ML, and statistical algorithms guide solubilization method selection, demonstrated with compound CVN424. In a poster presentation at AAPS PharmSci 360, by Dineli Ranathunga, PhD, indicates that AI ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Knowledge workers are racing ahead with AI, but organisations still evaluate them as if they are working alone. How we ...

One of the important things that can be gleaned from testing generative AI is that metrics alone, though they can be ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .