The integration of AI and XR is central to the observed convergence. For digital twins, machine learning and LLMs enhance ...

Abstract: The Internet of Things (IoT) technology development speed, along with its integration into smart city infrastructure, requires strong cybersecurity solutions to protect important systems.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on co ...

The IoT framework is used for collecting the heartbeat, blood pressure, and temperature of a person via the sensor deployed in the human body and using machine learning algorithm to predict the heart ...

Learn 4 critical approaches to addressing talent shortages in Industrial IoT and building a future-ready manufacturing ...

Context-aware computing enables ultra-low-power operation while maintaining high-performance AI capabilities when needed.

Azure Machine Learning supports automated machine learning (AutoML) by providing a framework that enables users to build high-quality models with minimal manual intervention. AutoML in Azure ML ...

As global banking institutions accelerate their digital transformation, leaders in artificial intelligence and machine ...

This departmental paper presents a conceptual framework to analyze industrial policy, defined as targeted sectoral interventions. The authors first discuss the key principles that should guide ...

Lenders who utilize machine learning-based automations through LPA save money, have shorter cycle times and have greater customer satisfaction, according to a recent analysis. A fully digitized ...