OpenAI says new coding model helped build itself

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...
IEEE

Application of CNN-LSTM in Dynamic Pose Classification in Badminton Using Landmark Tracking

Abstract: This study proposes a badminton motion classification system that leverages two-dimensional body landmark coordinates extracted using MediaPipe-based pose estimation. A CNN-LSTM architecture ...
IEEE

A CNN-ViT Fusion Model for Tamper-Proof Watermarking Against Deepfake Images

Abstract: The proliferation of deepfake technology poses a significant threat to digital content authenticity, necessitating robust watermarking schemes for AI-generated images. Existing solutions are ...
CNN

Tesla scraps Model S and Model X to build robots

Tesla CEO Elon Musk, who turned an upstart electric vehicle maker into an industry-changing powerhouse, is pulling the plug on the two models that helped get him there, as he struggles with another ...
IEEE

Applications of Adversarial Sample Detection Algorithm for CNN Model

Abstract: With the wide application of convolutional neural network in the field of computer vision, its security problem has attracted increasing attention. The threat of confronting samples for ...
IEEE

A Lightweight Multimodal Framework With Dilated CNN Audio Modeling and SE-Enhanced MobileNetV2 for Real-Time Sentiment Analysis of Customer Product Reviews

Abstract: The rapid growth of e-commerce has transformed customer feedback into a multimodal medium, encompassing not only text but also speech, images, and video reviews. Traditional unimodal ...
IEEE

An Application of Data Prediction Model Based on CNN-BiLSTM Method

Abstract: This article states that using convolutional neural network and bidirectional long short-term memory (CNN-BiLSTM ) data prediction model to analyse and predict the movement of some data in ...
IEEE

A Combination Perception Model Based on CNN-BiGRU-Attention and Its Application in Signal Processing

Abstract: Deep learning-based long and short-term memory networks offer notable advantages in processing datasets that vary over time. Current models, however, face ...
IEEE

Hybrid Vision Transformer and CNN Architecture for Accurate Spacecraft Pose Estimation with Model Compression

Abstract: Attitude estimation of non-cooperative spacecraft remains a core challenge in on-orbit servicing and space robotics, especially under complex environmental conditions. To address this, a ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...