Researchers demonstrate how memristors could be used to power artificial systems to mimic the human brain.
Researchers at MIT have developed a new deep learning neural network that can identify speech patterns indicative of depression from audio data. The algorithm, researchers say, is 77% effective at detecting depression.
Researchers have trained neural networks to accelerate the reconstruction of neural circuits.
Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
A new study links folic acid intake in pregnant women with epilepsy and language development in children. Researchers report among children whose mothers with epilepsy did not take folic acid, 34% had delayed language skills at 18 months.
A new artificial neural network based on the human brain sheds light on how we process moving images.
New findings about how the brain processes information in verbal working memory could have implications for the development of new AI systems, researchers report.
Researchers have developed an artificial neural network that has been able to communicate with and learn human language.
Combining brain activity data with artificial intelligence, researchers generated faces based upon what individuals considered to be attractive features.
Researchers created a new human brain model using machine learning-based optimization of required user profile information.
A new study reveals a mechanism that may explain how the brain is able to retain memories when faced with distraction. The findings could help with the development of new artificial neural networks and AI technology.
Despite a lot of public worry that the AI revolution is going to impact the workforce, researchers report this is likely not to be the case. However, they note, the introduction to machine learning in the workforce could transform the economy as much as the introduction of the steam engine and other technologies did in the past.
