Study shows a combination of human and artificial intelligence optimizes the prediction of mental health problems, including psychosis. Read More
Using theoretical calculations, computer scientists show it would be fundamentally impossible for humans to control a super-intelligent AI. Read More
A new machine-learning algorithm is assisting researchers to determine which existing drugs can be repurposed effectively for other conditions. Read More
Artificial intelligence technology redesigned a bacterial protein that helps researchers track serotonin in the brain in real time. Read More
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Combining machine learning with MRI brain scans helps researchers provide a more accurate map of the brain. Read More
A new computational algorithm shows how the brain maintains information in the short term using specific types of neurons. Read More
A new AI model mimics how the prefrontal cortex uses gating to control information flow between different areas of neurons. The system could help in the development of new artificial intelligence technologies that better mimic the human brain. Read More
An innovative new model helps predict how damaging conditions in the brain can be triggered by complex dynamics in branching neural networks. Read More
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Using data from neuroimaging, a machine learning algorithm has identified key functional neural connections that could serve as a biomarker in the diagnosis of major depressive disorder. Read More
A new AI system helps researchers better understand the brain computations that underlie thought. Read More
When convolutional neural networks are trained under experimental conditions, they are deceived by the brightness and color of a visual image in similar ways to the human visual system. Read More
A new machine-learning algorithm has uncovered new neural mechanisms and enhanced the decoding of behaviors directly from brain signaling data. Read More
