Psychology Today

AI-Decoded Brain Signals May Help Paralyzed Regain Movement

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

AI streamlines deluge of data from particle collisions

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
IEEE

MFC-CNN: A Deep Learning Framework for Urban Building Height Estimation from GF-7 Imagery

Abstract: Estimating building heights by generating disparity maps from multi-view satellite images through stereo matching remains challenging in urban research. However, disparity maps produced by ...
IEEE

Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data

Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...

AI Is Quietly Changing Who Gets Hired; What Are The Rules To Get Employed In 2026?

Résumé screeners, keyword-matching tools, AI-assisted video interviews are filtering applicants. For job seekers, the challenge is about learning how to pass digital gatekeepers ...
IEEE

Efficient Dynamic Path Planning Algorithm for ASVs Based on Transfer Reinforcement Learning

Abstract: Autonomous surface vessels (ASVs) play a crucial role in military, civilian and scientific research fields, and path planning technology is the foundation for ensuring the navigation of ASVs ...
IEEE

An Interpretable Machine Learning Model for Leukemia Diagnosis Using CNN-SVM and Explainable AI

Abstract: The method uses a new approach for classifying leukaemia by connecting a CNN with an SVM classifier built especially for the task. Because white blood cell morphology diagnosis is crucial ...
IEEE

Early Radar Work Mode Recognition Using Hybrid CNN-Transformer and Reinforcement Learning

In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
IEEE

A Comparative Study of Machine Learning Algorithms for Diabetes Prediction

Abstract: In recent years, diabetes has become more prevalent due to unhealthy lifestyles, obesity, and other factors. Diabetes is a chronic and dangerous disease due to its major complications that ...
IEEE

Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study

Abstract: Network Intrusion Detection Systems (NIDS) play crucial role for maintaining the security of modern network infrastructures. With the increasing sophistication of cyber-attacks, traditional ...

Career Wise: 5 High-Paying AI Jobs That Will Be In Demand Over The Next Decade

Jobs related to AI offer attractive salaries and significant growth potential. For students or professionals aiming for a career in technology, AI stands out as a prime choice.
IEEE

SiamMask-ICDNet: A Hybrid Algorithm of Siamese Neural Network and Mask R-CNN for Island Building Change Detection

Abstract: Timely detection of construction changes on islands is crucial for environmental conservation, resource management, and sustainable development. Current methodologies typically employ ...