A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

They demonstrate that AI and machine learning-based methods have the potential to provide accurate ... where the average person lies multiple times a day." Lies, the authors point out, can range from ...

Ning Lin explains how reinforcement learning methods could help mitigate climate risk, despite uncertainty in climate change risk forecasts.

Hypertrophic cardiomyopathy is known to have strong genetic foundations. However, only some studies have addressed the complex network of co-expressed genes and variants that modify the phenotype.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

The combined multiple machine learning performance measure (CMMLPM) offers a groundbreaking framework for evaluating machine learning (ML) systems by integrating multiple performance metrics into a ...

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics ...

New research reveals that individual neurons follow multiple learning rules simultaneously, challenging the long-held belief that synaptic plasticity operates uniformly throughout the brain.