Tending crops by day and then logging on for a night shift of data labeling, 27-year-old Chandmani Kerketta is part of a ...

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 ...

Vema Hydrogen drills wells to stimulate hydrogen production deep underground, which could result in some of the cheapest hydrogen available.

Modern refrigerators use far less electricity than their predecessors. I did the math to see how much a new model saves versus a 10-year-old fridge.

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 ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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 ...