Combining AI and robotics technology, researchers have identified new cellular characteristics of Parkinson's disease in skin cell samples from patients.
Researchers have developed a new, fully automated prosthetic arm that learns during normal use and adapts to varying conditions.
AI technology helped map out diverse and subjective psychedelic experiences to different brain regions.
Training a machine learning algorithm with synthetic data for image classification can rival one trained on traditional datasets.
Researchers have successfully stabilized an enzyme that is able to degrade scar tissue as a result of spinal cord injury with the help of AI and robotics.
A new deep learning algorithm that looks for the burden of genomic variants is 70% accurate at identifying specific mental health disorders within the African-American community.
A novel deep convolutional neural network AI algorithm can detect COVID-19 within minutes with 98% accuracy.
A new artificial intelligence algorithm analyses MRI data to accurately predict the age of a brain.
A new computational method sheds light on the intricacies of brain structure and function.
A new theory suggests consciousness is a state tied to complex cognitive operations, and not a passive basic state that automatically prevails when we are awake.
A new AI algorithm can detect behavioral symptoms associated with anxiety with over 90% accuracy.
Researchers report Xenobots, a computer-designed, hand-assembled organism can find and gather single cells, and assemble "baby" Xenobots. After a few days, the immature Xanobots can also find cells and replicate themselves.
