Blood samples taken from 2,526 participants over 18 months were analyzed using mathematical models and machine learning to classify antibody response patterns.

Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...

Abstract: Computer-aided detection through deep learning is becoming a prevalent approach across various fields, including detection of anomalies in medical procedures. One such medical procedure ...

This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

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The mysterious nano-banana image model has been revealed as Google's Gemini 2.5 Flash Image. Google's new AI model tops LMArena image editing leaderboard with 1,362 ELO points, far ahead of ...

Converts text prompts into images using Clarifai DALL-E 3 model. expo ^53.0.0 react 19.0.0 react-native 0.79.5 @tensorflow/tfjs ^4.0.0 @tensorflow-models/coco-ssd ^2.1.0 expo-camera, expo-image-picker ...