Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

At the end of 2024, no AI had even managed to place 100th in one of the major competitions. But they have since vaulted up the leaderboards. AIs have already proved that they can make superhuman ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...