You'll code faster and spend less with OpenAI's new GPT-5.1 update - here's how

So, bottom line, if OpenAI can substantially reduce the cost of API calls and still deliver AI value, as it seems to have ...
IEEE

Enhancing Fall Risk Assessment with Deep Learning: A CNN-BiLSTM Approach Using Plantar Pressure Sensors

Abstract: Falls in older adults pose significant health risks, often resulting in severe injuries, loss of independence, reduced mobility, and increased healthcare costs. Early and accurate fall risk ...
IEEE

Vision Transformer for Diabetic Retinopathy Diagnosis: A Deep Learning Approach Beyond CNN

Abstract: Automated retinal disease detection, particularly in Diabetic Retinopathy (DR) classification, has received significant attention. While Convolutional Neural Networks (CNNs) have been the ...
IEEE

Deep Learning-Based Fault Diagnosis in Quadcopter Actuators: A CNN-LSTM Network with Bayesian Optimization

Abstract: In recent years, deep neural networks have shown promising results in modern fault diagnosis. This paper focuses on diagnosing actuator faults in quadcopters using a deep learning strategy.
Microsoft

6 surprising ways a new AI agent can help you crush it at work

Imagine having an on-call research assistant that can analyze mountains of work and web data to give you insightful expertise in minutes, whether you’re preparing for a big meeting, brainstorming new ...
IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Visualizing Crop Disease Detection Exploring Deep Learning with Custom CNN Model and XAI for Enhanced Interpretability

Abstract: Accurately detecting plant diseases is essential for safeguarding food security and promoting agricultural sustainability. This study presents an advanced deep learning approach using ...
Erie News Now

Sudden ZIP code change in Carroll County unexpectedly leaves longtime residents without mail

UNION BRIDGE, Maryland (WBAL) -- Longtime residents on a Carroll County street randomly stopped receiving mail after a small change left a big impact. It was a mail mystery over the past week for 13 ...
IEEE

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection

Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
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 ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.