Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...

Total social media time does not significantly affect adolescents' weight concerns or dieting frequency, according to the study's findings. Exploratory analyses suggest potential associations between ...

Hey everyone in the community, I think EvalScope is a very practical tool—I use it for stress testing and accuracy validation. However, I feel the current version still has some limitations: Most of ...

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...

A large image dataset used to develop AI tools for detecting nudity contains a number of images of child sexual abuse material (CSAM), according to the Canadian Centre for Child Protection (C3P). The ...

StratifAI, the AI precision oncology company behind the Polaris™ platform, today announced its selection for the Memorial Sloan Kettering (MSK) iHub Challenge 2025 Cohort program. This engagement will ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...