TurbineOne describes FPS as a model-agnostic machine learning platform that automates the assessment of military targets. The platform ingests data from multiple sensors, such as air, land, sea, and ...

For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle ...

To assess and study human memory, psychologists have so far primarily used tasks that require people to verbally recall ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

A new paper published in Agriculture outlines how computational technologies, artificial intelligence, and information ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Computer vision competitions are currently an important event for teams working in this area. They provide an opportunity to try new solutions, practice, and simply enjoy solving interesting problems.

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of ...

Background: Eye-tracking technology has proven to be a valuable tool in detecting visual scanning patterns associated with autism spectrum disorder (ASD). Its advantages in easily obtaining reliable ...