A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...