Face spoofing remains one of the most pressing threats in biometric authentication, with implications spanning mobile device ...

In contrast to prior studies that relied on deep learning models with low transparency, or balanced datasets that fail to ...

The following is a summary of "Machine learning model for predicting DIBH non-eligibility in left-sided breast cancer ...

In this paper, the authors proposed an ensemble deep learning model, HIELCC-EDL, for the early and accurate detection of LCC using histopathological imaging. They utilized a dataset of 25,000 ...

A new NASA-supported study shows how an AI tool can predict chemical compositions from photos with high accuracy.

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...

Kohde helps clients harness AI by starting with the integration of existing models into current business software and ...

Deep Blue Sports + Entertainment today announced the launch of the Women's Sports Audience Intelligence & Monetization (WS/AIM) Service, built in partnership with Precise, creating the first premium ...

AI diagnoses brain tumors with up to 96.7% accuracy using deep learning and clinical data fusion—see how it works and why it matters.

While deep learning-based models have been shown to be more effective in predicting precipitation amounts, their performance heavily relies on the size of the training datasets. This paper presents a ...

We are going to build resilience at the local level and free ourselves from federal funding so that we can continue to stand by this community,” the executive director of the Vermont Afghan Alliance ...