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

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 ...

This model represents a synergistic integration of an array of machine learning (ML) and deep learning (DL ... Subsequently, we proposed a voting-based ensemble AI classifier combining the most ...

From returning classic series like Bleach to fresh new anime to love like Solo Leveling, 2024 is a year to remember that fans ...

Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Beyond detection, the platform employs a large language model, specifically GPT-3.5, to recommend context-specific ...