AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...
Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...
lib/ ├── core/ # Shared application core │ ├── config/ │ │ ├── env.dart # Environment variables (generated) │ │ ├── env.g.dart # Generated environment config │ │ └── app_config.dart # Application ...
The burden of cognitive decline is growing, affecting many people worldwide and placing a substantial strain on health-care ...
Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which ...
Multimodal interfaces that combine voice, vision, text, gesture and environmental context are the next step in making ...
Recently, an AI smart cloud exhibition hall named 'Autumn Colors Drenched by the Moon—A Pilgrimage of Autumn Scenery in Famous Mountains and Rivers' has officially launched, sparking widespread ...
Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which processes multiple types ...
Abstract: Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a ...
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real ...
Abstract: Cancer therapy-related cardiac dysfunction (CTRCD) is a potential complication associated with cancer treatment, particularly in patients with breast cancer, requiring monitoring of cardiac ...
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