A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Abstract: Accurate segmentation of specific organs or diseased tissues in medical images is crucial for precise diagnosis and effective treatment planning. While fully-supervised deep learning methods ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...

Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...