Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Millions of people already chat about their mental health with large language models (LLMs), the conversational form of artificial intelligence. Some providers have integrated LLM-based mental ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

Amazon Bedrock and Amazon SageMaker AI put advanced model customization into the hands of any developer, while reducing costs ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...