What are Deep Neural Networks (DNNs)?
Deep Neural Networks (DNNs) are a subset of artificial neural networks characterized by multiple layers between input and output.
Edge Federated Learning: The Merge of Edge Computing and Federated Learning
Edge Federated Learning (EFL) addresses the data silo problem by effectively utilizing the vast data generated on end-user devices, all while preserving user privacy.
Federated Learning: A Paradigm Shift in Distributed Machine Learning
Federated Learning (FL) has emerged as a powerful and privacy-conscious method for leveraging distributed computing resources to collaboratively train machine learning models.
Different Types of Artificial Neural Networks
As research evolve, several types of neural network architectures have emerged, each tailored to specific types of problems and data structures.
How Artificial Neural Networks (ANN) Work
Artificial Neural Networks (ANNs) have revolutionized the field of artificial intelligence by mimicking the information processing mechanisms of the human brain. Over the decades, research in neural networks has evolved from early perceptron models to today’s complex deep learning architectures.
What is Edge Computing?
Edge computing is an emerging paradigm that brings computation and data storage closer to the sources of data generation, such as sensors and IoT devices.
What is the Internet of Vehicles (IoV)?
The Internet of Vehicles (IoV) represents a transformative evolution in transportation, integrating vehicles into the broader Internet of Things (IoT) ecosystem.
The Journey of Artificial Neural Networks (ANN)
Artificial Neural Networks (ANNs) have been a prominent area of research in artificial intelligence since the 1980s. Inspired by the structure and function of the human brain, ANNs abstract the neural processing mechanism into a simplified computational model.
From Quantum Chips to Quantum Computers
In the rapidly advancing world of technology, one term is gaining increasing attention: quantum chips. As the foundational hardware behind quantum computers, these tiny yet powerful devices are poised to revolutionize how we solve problems.
Blockchain Intelligence: Blockchain and AI Merged
Blockchain intelligence represents the convergence of blockchain technology with artificial intelligence (AI) and machine learning (ML), aiming to enhance the capabilities of decentralized systems through intelligent data processing and analysis.