Humans and computers can interact via multiple modes and channels to respectively gain wisdom and deepen intelligence.
Researchers have developed a more powerful and energy-efficient memristor, based on the structure of the human brain, that combines data storage and processing. The new technology, made from nanocrystals of halogenated perovskite, is not yet ready for use as it is difficult to integrate with existing computer chips, but it has potential for parallel processing of large amounts of data.
Utilizing a classic neural network, researchers have created a new artificial intelligence model based on recent biological findings that shows improved memory performance.
Study reveals how the brain juggles morally conflicting outcomes while learning, finding people who opt to make decisions for personal gain at the expense of others can comprehend and empathize with potential negative outcomes, but still ultimately choose to pursue options that benefit them.
An AI model of gene regulation in the brain identified thousands of mutations associated with neocortical development and the facilitation of mathematical abilities.
A new machine learning algorithm can predict the in-game actions of volleyball players with 80% accuracy.
A new computational neuroscience study sheds light on how the brain's cognitive abilities develop and could help shape new AI research.
Researchers say they have created the most bio-realistic and complex computer models of individual brain cells.
A new machine-learning algorithm is able to accurately detect cognitive impairment by analyzing voice recordings.
Researchers developed a new GPU-based machine learning algorithm to help predict the connectivity of networks within the brain.
New software can perform computerized image editing using only input from electrical activity in the human brain.
Researchers present an all-atom molecular dynamic simulation of synaptic vesicle fusion.
