Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Early warning of overgrowth in strawberry seedlings is essential to balance vegetative and reproductive growth. However, existing monitoring methods face major challenges, including subtle visual ...

Researchers at the University of Pennsylvania have launched Observer, the first multimodal medical dataset to capture anonymized, real-time interactions between patients and clinicians. Much like the ...

1 Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China 2 Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China ...

As robots tackle increasingly complex environments and tasks, their artificial intelligence needs to be able to process and use data from many sources. Encord today launched EBIND, an embedding model ...

# Load the dataset descriptions from local copy of the data sdss = load_dataset_builder("data/MultimodalUniverse/v1/sdss", trust_remote_code=True) hsc = load_dataset ...

The Hawaiʻi Department of Transportation’s release of its Priority Multimodal Network Plan marks another major milestone in implementing the Navahine v. Hawaiʻi Department of Transportation Settlement ...

The Hawaiʻi Department of Transportation has announced the launch of its Priority Multimodal Network, a statewide initiative identifying 113 projects designed to improve pedestrian, bicycle and ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

This study addresses the challenges in teacher emotion recognition (TER), namely the lack of high-quality multimodal datasets and insufficient modeling of common and discriminative emotional features ...