The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Artificial intelligence (AI) has become an integral part of modern enterprises, but data privacy concerns remain a major challenge. Sunil Kumar Gosai, an expert in AI-driven computing, explores an ...

As demand for real-time intelligence grows, edge AI is well-positioned to continue its substantial impact in many industries.

Introduction The manufacturing sector has long been at the forefront of technological adoption, with artificial intelligence ...

This repository contains the implementation of, "Federated Learning Nodes Can Reconstruct Peers' Image Data". Federated learning (FL) is a privacy-preserving machine learning framework that enables ...

In a milestone towards advancing innovative and sustainable industry solutions, Khansaheb Industries, a leading ...

Co-founder and CEO of Amboss, Jesse Shrader, believes that broader adoption of the Lightning Network is just around the ...

The approaching cryptocurrency market bull run draws investors toward cases with both innovative technology and functional ...

Advancements in combining sensors enabling intelligent, distributed processing and standardized communication of object data.

Modern unmanned technologies are experiencing rapid growth, encompassing both civilian and military applications. Autonomous vehicles, delivery drones, and unmanned aerial vehicles for rescue and ...

AI-driven automation, tighter design-test collaboration, and evolving BiST techniques are redefining DFT strategies.