AI use is becoming increasingly widespread throughout personal, everyday tasks and in the workplace. For personal use, people ...

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

Looking to have fun with ChatGPT? Try some of our favorite image prompts to create and transform your photos with AI.

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

I've been doing experiments with the C# image classification examples, and I've been struggling trying to modify the sample to save an ONNX file without success, since it gives me the usual "The ...

The main challenges limiting the adoption of deep learning-based solutions in medical workflows are the availability of annotated data and the lack of interpretability of such systems. Concept ...

Generative artificial intelligence enthusiasts are always on the lookout for brand-new AI models released for public testing ahead of their commercial launch, and in the past few weeks, they have ...

Landscape Science and Technology Division, Environment and Climate Change Canada, National Wildlife Research Centre, Ottawa, ON, Canada Effectively mapping and detecting changes in forests and linear ...

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...