Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Using virtual reality, researchers found that people differ in how much they are influenced by their visual environment.
Revealing details of the internal structure of 'mini-brains' could help accelerate drug studies and may offer alternatives to some animal testing.
Researchers have shown that gait training using robotic exoskeletons improved motor function in adolescents and young adults with acquired brain injury.
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
A bioceramic implant has proved to stimulate regeneration of natural skull bone so that even large cranial defects can be repaired in a way that has not been possible before.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers have developed an innovative training protocol that, utilizing immersive virtual reality (IVR), leads to real physical and cognitive benefits.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.