There are any number of complicated ways to describe bias and variance in machine learning. Many of them utilize significantly complex mathematical equations and show through graphing how specific examples represent various...

In the field of machine learning, an induction algorithm represents an example of using mathematical principles for the development of sophisticated computing systems. Machine learning systems go beyond a simple “rote...

Machine learning (ML) uses statistics and mathematical models to detect patterns in historical data and learning algorithms to make predictions about new data. ML encompasses a range of methodologies and application areas, including:Artificial...

Researchers at the Allen Institute for AI Propose Līla, a Unified Benchmark for Comprehensive Evaluation of the Mathematical Reasoning Abilities of Artificial Intelligence Systems

An interdisciplinary team of researchers from the Universidad Carlos III de Madrid (UC3M) has created a mathematical model which makes it possible to explain, according to different sociopolitical variables, certain advanced ...

An interdisciplinary team of researchers has developed a blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs. The project was focused ...

The Neural Information Processing Systems (NeurIPS) annual meeting fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their fields.