Abstract: This paper presents the use of neural networks and a genetic algorithm within a model-based friction compensation scheme in a closed-loop robotic system. Unlike previous works which ...

Abstract: We propose an evolutionary neural network-training algorithm ... This paper describes a hierarchical genetic learning model of the BBFNN. In order to examine the performance of the proposed ...

Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps ...

A study led by biomedical scientists at the University of California, Riverside School of Medicine shows how a genetic mutation associated with Crohn’s disease can worsen iron deficiency and anemia — ...

“Genetic counselors can provide patients with powerful tools to help them take control of their cancer screenings,” said Courtney Schuiteman, a Community Care Network genetic counselor on ...

Recent research led by Professor Jiangwen ZHANG of the School of Biological Sciences at The University of Hong Kong (HKU) has uncovered how a key genetic culprit, VPS72, drives the development of ...

Genetic AI is pushing beyond the familiar realm of deep learning and opening up entirely new dimensions for problem-solving, ...

The rapidly growing capabilities and increasing presence of AI-based systems in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies around ...