Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Pancreatic cancer (PaC) is often diagnosed at advanced stages, resulting in one of the lowest survival rates among patients with cancer. The purpose of this study was to investigate whether machine ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In today's artificial intelligence (AI) systems, everything depends on how machines understand data. But beneath the buzzwords lies a quiet challenge: How do you know your AI system is aligned with ...

When orchestrated together, ML delivers precision and consistency, while generative AI enhances accessibility and adaptability. This dual-engine architecture allows organisations to move from isolated ...