Abstract: Automatic Radiology Report Generation (RRG) reduces medical workload by automatically generating diagnostic reports from X-ray images. In recent studies, an improved performance has been ...

Posts from this topic will be added to your daily email digest and your homepage feed. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Abstract: The classification of user trajectories in Long-Term Evolution (LTE) heterogeneous networks (HetNets) is investigated in this paper. We propose a methodology to classify user trajectories ...

For many computer vision tasks (e.g., image classification, object detection), existing deep learning-based models usually suffer from significant performance degradation when directly applying them ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Large-scale extracellular recording techniques have advanced the study of neuronal circuits but lack methods to reliably identify cell types while scaling to thousands of neurons. We introduce ...

Army Capt. Jeremy Kuykendall and his wife Kate, cradle their youngest daughter Isabella at their new home in Fort Leavenworth, Kansas, on April 7, 2024. Bella was abused at a military day care center ...

This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb’s plasticity mechanism on neuromorphic ...