A new machine-learning algorithm could help practitioners identify autism in children more effectively.
Artificial Intelligence
Artificial Intelligence articles involve programming, neural engineering, artificial neural networks, artificial life, a-life, floyds, boids, emergence, machine learning, neuralbots, neuralrobotics, computational neuroscience and more involving A.I. research.
A new AI algorithm can detect behavioral symptoms associated with anxiety with over 90% accuracy.
Researchers report Xenobots, a computer-designed, hand-assembled organism can find and gather single cells, and assemble "baby" Xenobots. After a few days, the immature Xanobots can also find cells and replicate themselves.
A new AI algorithm recognizes the complex range of emotions invoked when people listen to pieces of music.
New artificial intelligence technology reveals previously unknown cell components. The findings may shed new light on human development and diseases.
A newly developed AI algorithm can directly predict eye position and movement during an MRI scan. The technology could provide new diagnostics for neurological disorders that manifest in changes in eye-movement patterns.
When chatbots are faced with human interaction containing similes and idioms, their performance falls to between 10 to 20%.
Artificial intelligence sheds new light on how the brain processes language. Researchers report the human brain may use next word prediction to drive language processing.
A new machine-learning algorithm is able to teach itself to smell within a few minutes of training. As it learns, the system builds an artificial network that mimics the brain's olfactory system.
A painting of a naked woman by Picasso has been hidden under one of his "Blue Period" works for almost a century. With the help of artificial intelligence, researchers have been able to reproduce the lost painting.
Relating machine learning to biological learning, researchers say while the two approaches aren't interchangeable, they can be harnessed to offer insights into how the human brain works.
Study reveals why human brains are so good at learning. The findings could help with the development of more efficient AI models.
