Machine learning powers everything from streaming recommendations to medical image analysis. Knowing its core algorithms and uses can help you apply it in work and life. Here’s a clear, ...

The rule moves F.D.A.-approved marijuana and state-regulated marijuana out of the Schedule I category, which includes drugs ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks in real-world structures.

Sub-headline: BIT researchers introduce Malcom to tackle cross-domain encrypted traffic detection using self-supervised ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Abstract: Network traffic classification (NTC) plays an essential role in managing, securing, and optimizing networks. Supervised learning methods face challenges such as label scarcity. Given that ...

Abstract: Self-supervised learning (SSL) methods, including contrastive learning (CL) and masked image modeling (MIM), have shown commendable performance on various remote sensing visual tasks.