DeepCubeA, a deep learning algorith, is able to solve the Rubik's cube in an average of 20 moves.
Study reveals why human brains are so good at learning. The findings could help with the development of more efficient AI models.
Researchers have successfully reproduced illusory motion in deep neural networks that were trained for perception. The DNNs were able to accurately reproduce the direction of illusory rotation humans observe while looking at a popular optical illusion.
Activity in the medial preoptic area tilts the mouse brain toward love and affection, while activity in the ventromedial hypothalamus is associated with more aggressive or hateful acts.
A new study from UCLA researchers demonstrates the limitations of some current deep learning algorithms.
A new study reveals a new algorithm that simulates how deep learning could occur in the human brain. Researchers report certain neurons have the shape and electrical properties that are well suited for deep learning.
Researchers have created a new algorithm based on blood and cerebrospinal fluid biomarkers to help detect dementia.
Using AI technology, researchers provide new insight into how the human brain connects individual episodic memories to help solve problems.
Researchers answer the questions of whether artificial intelligence is better at facial recognization than humans. The study found both humans and deep learning algorithms perform with similar levels of accuracy when identifying faces. However, when AI technology is combined with human intelligence, the accuracy attainment levels shot up and better results were achieved than when two facial examiners worked together.
A new machine learning study reveals behavioral strategies in worms. The study, researchers say, may shed light on how humans make decisions.
Researchers have developed a new machine learning algorithm that can autonomously and efficiently identify dendritic spines with 90% accuracy.
Brain activity while in a resting state can predict how empathetic a person is. Researcher used a combination of neuroimaging data and machine learning to identify subtle patterns in brain activity associated with empathy.
