What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration, enabling real-time monitoring of drought response.

A newly developed AI can predict which diseases specific genetic mutations are likely to cause, not just whether they are harmful. The breakthrough could speed up diagnoses and open new paths for ...

The brain goes through five distinct stages between birth and death, a new study shows. Scientists identified the average ...

The brain goes through five distinct stages between birth and death, a new study shows. Scientists identified the average ...

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Manufacturers use AI and sensors to optimize post-consumer resin processing and improve quality control in plastics ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

In a breakthrough that turns routine radiation monitoring into a biodiversity time capsule, researchers have extracted ...

By comparing clinical cohorts and populations from Singapore and the US, researchers will study infectious diseases, corneal disorders, liver transplant outcomes, diabetes and lung cancer to uncover ...