New analysis shows how to generate the best results when approximating solutions to complex engineering problems.
A new paper describes the scientific motivations for studying neural activity, along with a class of machine learning, called dimensionality reduction, for interpreting the activity.
The Never Ending Image Learner (NEIL) computer program is able to label images and learn associations with little human intervention.
Within a decade, personal robots could become as common in U.S. homes as any other major appliance, and many if...
Emotion-sensing computer software that models and responds to students’ cognitive and emotional states – including frustration and boredom – has...
Scientists model brain structure to help computers recognize objects An essential question confronting neuroscientists and computer vision researchers alike is...
Innovative machine learning method anticipates neurocognitive changes, similar to predictive text-entry for cell phones, internet search engines At UCLA’s Laboratory...
