AI-assisted programming is becoming increasingly prevalent. However, only experienced developers achieve productivity gains.

Zhipu said its GLM-Image model was trained on Huawei Ascend chips. The move highlights growing reliance on Chinese domestic chips. Zhipu shares have surged over 80% since its IPO amid rising investor ...

Abstract: This article describes how to use Python’s Keras deep learning package to build an Artificial Intelligence-powered image classification model. Speech, text, and other types of input are ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...

This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...

Introduction: Image emotion classification (IEC), which predicts human emotional perception from images, is a research highlight for its wide applications. Recently, most existing methods have focused ...

Google is upgrading its Gemini chatbot with a new AI image model that gives users finer control over editing photos, a step meant to catch up with OpenAI’s popular image tools and draw users from ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...