IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
IEEE

Hybrid Variational Quantum Algorithm Enhanced Subentire-Domain Basis Functions Method With High Learning Efficiency and Better Robustness

Abstract: The subentire-domain (SED) basis functions method is the most effective method for analyzing the electromagnetic (EM) properties of large-scale finite periodic structures (LFPSs). Recently, ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Prediction of Asthma Using Machine Learning Algorithms

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Devdiscourse

From data to safety: Artificial intelligence transforms coal mine risk management

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
ZME Science

This AI Was Supposed to Detect Guns in School. It Called the Cops on a Teen Eating Doritos

Taki Allen, 16 years old, was doing what many teenagers do. He was hanging out after football practice at Kenwood High School ...
Devdiscourse

How generative AI is driving the future of plant gene editing

Traditional breeding and genetic modification methods have struggled to keep pace with the rapid evolution of plant viruses. CRISPR/Cas systems, originally derived from bacterial immune responses, ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
IEEE

Bi-Level Optimization of Electric Vehicle Charging Scheduling Using Hybrid Genetic Algorithm and Reinforcement Learning

Abstract: The efficient management of electric vehicle (EV) charging infrastructure is critical to meeting the growing demand for sustainable transportation. This study addresses the Electric Vehicle ...
Devdiscourse

How AI transforms solar energy management and storage

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

'I gave the world's first AI manicure a try - this is what I thought'

Artificial intelligence has penned novels, navigated cars and crafted portraits. So, it was only a matter of time before it ...