OpenAI releases new image model as it races to outpace Google’s Nano Banana amid company Code Red

The update follows Sam Altman’s internal “Code Red” push, as OpenAI races to counter Google’s fast-growing Gemini and its ...

OpenAI's answer to Google's viral Nano Banana Pro image model is here

OpenAI announced a new version of ChatGPT Images on Tuesday, powered by a new flagship AI image generation model. It rolls ...

OpenAI continues on its ‘code red’ warpath with new image generation model

OpenAI rolls out GPT Image 1.5 for ChatGPT, promising 4x faster generation, better instruction-following, and precise edits.
CNET

OpenAI Just Dropped a New AI Image Model in ChatGPT to Rival Google's Nano Banana

OpenAI's Image Model 1.5 is out now, and it comes with a new creative studio for editing.
IEEE

AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion’s Disease Classification

Abstract: The spectrum of skin diseases, based on their nature, poses significant barriers to health that affect individuals internationally. Thus, basic procedures such as accurate and early ...
IEEE

Attention Based CNN-RNN Hybrid Model for Image Captioning

Abstract: Image captioning enables computers understand and interpret visual content by bridging the gap between natural language processing and computer vision. The model proposed in this paper for ...

OpenAI Launches GPT-5.2 as It Navigates ‘Code Red’

The ChatGPT-maker is releasing its “best model yet” as it faces new pressures from Google and other AI competitors.

A new open-weights AI coding model is closing in on proprietary options

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to ...
IEEE

Advanced CNN-RNN Model Based Automatic Modulation Classification on Resource-Constrained End Devices

Abstract: In this paper, we propose a hybrid convolutional recurrent neural network (CNN-RNN) model to operate on resource-constrained end (RCE) devices for automatic modulation classification (AMC).
IEEE

Coronary Heart Disease Prediction Using CNN, RNN, LSTM and Attention DNN Model

Abstract: Coronary Heart Disease popularly referred to as CHD is one of the leading causes of death and illness across the global population making it imperative for the identification of an effective ...
IEEE

A Dual Convolution Hybrid Multi-Model for Code Vulnerability Detection

Abstract: Existing vulnerability detection models can typically detect only a limited range of vulnerabilities. As the variety of vulnerabilities increases, performance will be reduced. Graph ...
IEEE

CNN-LSTM-Attention based Predictive Model for Thermal Error in CNC Machine Tool Spindles

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...