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: Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to their ...

Image Classification Model, You can upload the following images: TRANSPORTS: Car, Boat, Airplane, Rocket, Helicopter, CARNIVORES: Raccoon, Otter, Dog, Lion, Tiger ...

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) ...

1 College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China 2 Key Laboratory of Smart Animal Husbandry at Universities of Inner Mongolia Autonomous Region, ...

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 ...

Abstract: In recent years, Transformer-based vision models have achieved remarkable progress in image classification tasks. However, conventional Vision Transformers (ViTs) encounter two major ...