Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Data visualization techniques for representing high-degree interactions and nuanced data structures. Contemporary linear model variants that incorporate machine learning and are appropriate for use in ...

AI, an actuarial technology and consulting firm specializing in machine learning and deep learning for financial services, ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...