FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

As part of efforts to promote sustainable manufacturing, an international team of chemical engineers has developed a high-efficiency green extraction technology that could redefine the future of the ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in two sessions - 9:30 am to 12:30 pm and 2 pm to 5 pm ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Precision architecture makes measurement the core of trustworthy AI, letting models reflect real battery behavior—not sensor artifacts. Artificial intelligence and machine learning are transforming ...