A new machine-learning algorithm has uncovered new neural mechanisms and enhanced the decoding of behaviors directly from brain signaling data. Read More
New artificial intelligence technology will analyze clinical data, brain images, and genetic information from Alzheimer's patients to look for new biomarkers associated with the neurodegenerative disease. Read More
A new machine learning algorithm can accurately predict how long people will spend viewing an exhibit at a museum. Read More
Summary: An artificial neural network has identified a potential mechanism for the impaired decision-making often seen in schizophrenia patients, which involves the reduced activity of NMDA receptors. Read More
A novel AI system recognizes a neuron in microscope images of the brain more efficiently than any previous approach. The system improves current methods of tracing neurons and their connections, which can help improve brain mapping. Read More
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking. Read More
Deep layers of artificial neural networks can be edited to generate surprising and abstract images. Read More
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New artificial intelligence technology can accurately predict how any chemical is going to smell to humans. Read More
AI network simulations become unstable following continuous periods of unsupervised learning. When the networks were exposed to states that are analogous to human brain waves during sleep, the stability was restored. Read More
Artificial intelligence reveals how the brain programs procedural knowledge. Read More
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BIOS health is partnering with Canadian universities to develop an artificial intelligence closed-loop neuromodulation system for chronic cardiac conditions. Read More
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··4 min readA new machine-learning algorithm is more accurate at determining personality traits based on selfie photographs than humans are. Read More