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Research & Development
Predicting Lung Disease in Preterm Infants: A Deep Learning Approach Using Early Chest X-rays
TLDR: A new deep learning model can accurately predict moderate to severe Bronchopulmonary Dysplasia (BPD) in extremely preterm infants using a single chest X-ray...
Research & Development
CueCo: Combining Contrast and Clusters for Unsupervised Vision
TLDR: Cluster Contrast (CueCo) is a novel self-supervised learning method that enhances visual representation by integrating contrastive learning and clustering. It uses a 'push-pull'...
Research & Development
FactorHD: A Breakthrough in Hyperdimensional Computing for Complex Data Representation
TLDR: FactorHD is a new Hyperdimensional Computing (HDC) model that significantly improves the representation and factorization of complex multi-object, multi-class, and multi-subclass relationships in...
Research & Development
Uncovering Language Models’ Math Mistakes from Within
TLDR: Researchers developed simple 'probes' to look inside language models and detect arithmetic errors with high accuracy. These probes can predict both the model's...
Research & Development
Making Image Search More Human-Centric: The QuRe Breakthrough
TLDR: QuRe is a new method for Composed Image Retrieval (CIR) that improves user satisfaction by retrieving not just the exact target image, but...
Research & Development
A New Unit-Based Approach Enhances Histopathology Tissue Segmentation
TLDR: UTS (Unit-Based Tissue Segmentation) is a novel framework for histopathology that classifies fixed-size 32x32 pixel tiles instead of individual pixels. This method, powered...