The Linkage-Based Criticality Matrix (LBCM™), developed by the Centre for African Mineral Value Chains (CAMVaC)—the policy ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

The Industry body flags risks in advancing compliance for significant data fiduciaries and early rollout of rules handling ...

The Public Accounts Committee (PAC), in its report 'Punctuality and Travel Time in Train Operations in Indian Railways' ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Objective Multidisciplinary team (MDT) meetings are central to treatment decisions in aortic stenosis (AS), particularly for borderline or high-risk patients. This study evaluates long-term, ...

AI-assisted programming is becoming increasingly prevalent. However, only experienced developers achieve productivity gains.

Naresh Lokiny advances telecom and payment systems through DevOps, AI and automated testing, reducing manual tasks and ...