In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

A collaborative research effort between UNIST and the Korea Institute of Science and Technology (KIST) has led to the ...

After California lawmakers and voters enacted landmark data privacy laws, a key state agency and several politicians are ...

The path to enterprise AI maturity runs directly through data . To build AI-ready data platforms - you need architecture, ...

Understanding Amazon’s Online Assessment Amazon OA is a crucial step in the hiring process for Software Development Engineer ...

similar to C++'s "Standard Template Library", however, making it generic by using void pointers and enumeration as a way to store any data type. I have utilised either structs or classes to create ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational cost and easy-to-local ...

This repository contains my solutions to various problems from Codeforces contests, aimed at improving problem-solving skills in competitive programming. Each submission is stored with detailed ...

Edge Intelligence, also known as Edge AI, is a hybrid of artificial intelligence and edge computing that allows machine learning algorithms to be deployed at the data generation edge. Today, enormous ...