The “Interim Measures for the Management of Generative Artificial Intelligence Services” has officially come into effect, leading to rapid development of generative AI in China that provides services to the public. This has provided technical support for teachers to use generative AI, making it possible for schools to incorporate generative AI into their teaching. The … Read more
Generative AI refers to a class of artificial intelligence systems that can learn from existing data and generate new data, thereby achieving functions similar to human creativity. Unlike traditional AI systems, generative AI systems can create new content on their own rather than merely processing input data. It can be realized through various technologies such … Read more
Generative artificial intelligence is a type of AI technology capable of generating new data or content, such as text, images, audio, video, etc. This technology typically involves algorithms and models from fields such as machine learning, natural language processing, and computer vision. The generative curriculum in the era of artificial intelligence refers to the dynamic … Read more
Iodinated contrast agents are widely used in CT angiography (CTA) examinations and play an irreplaceable role in the imaging diagnosis of vascular diseases throughout the body. However, there are risks of adverse reactions to injected contrast agents, contraindications, and high costs. Recently, a new study conducted by the First Medical Center of the PLA General … Read more
Machine Heart reports Machine Heart Editorial Team Researchers from the University of Rochester and Adobe Research have proposed a new generative network CM-GAN, which synthesizes overall structure and local details very well, significantly outperforming existing SOTA methods such as CoModGAN and LaMa in both quantitative and qualitative evaluations. Image inpainting refers to the process of … Read more
Table of Contents What is GAN? What Can GAN Do? Framework and Training of GAN Similarities and Differences Between GAN and Other Generative Models Existing Problems of GAN Models (Continued from last issue) 3 Framework and Training of GAN Previously, we mentioned that GAN consists mainly of two parts: the generator model and the discriminator … Read more
Click on the above “Beginner Learns Vision“, choose to add “Star Mark” or “Top“ Essential Insights Delivered Promptly Source | Intelligent Manufacturing Bureau Introduction Defect detection is a crucial aspect of the industrial production process, and the quality of its detection results directly affects product quality. In real-world scenarios, when the defect rate is very … Read more
Click on the above “Beginner’s Visual Learning” to select “Star” or “Pin“ Important content delivered promptly TorchGAN is a GAN design and development framework based on PyTorch. This framework aims to provide construction modules for popular GANs and allows customization for cutting-edge research. Using the modular structure of TorchGAN, you can: Experiment with popular GAN … Read more
Approximately 10,000 words, recommended reading time: 15 minutes. This article shares the top 10 models in deep learning, which hold significant positions in terms of innovation, application value, and impact. Since the concept of deep learning was proposed in 2006, nearly 20 years have passed. Deep learning, as a revolution in the field of artificial … Read more
Generative Adversarial Networks (4) The enthusiastic learner and writer, this yellow duck is back online. Last time, we discussed the network structure of ACGAN, the method of introducing category information, the metrics for evaluating the performance of generative adversarial networks, methods to improve model training stability, and more. In the ACGAN paper, there is a … Read more