A new study confirms previous findings that link inflammation during pregnancy to altered brain development in children. Researchers have created a machine learning algorithm that can predict the long term neurodevelopmental impact of MIA.
A new study that utilized machine learning tools provides a new map that links genetic signatures to functions across the human brain.
Using AI to examine over 800 million tweets, researchers reveal how our mode of thinking alters during the course of the day. The study reports early morning tweets tend to be correlated with more logical thinking patterns, while middle of the night tweets tend to exhibit more existential concerns.
Following just one season, children who have a history of concussion and high impact exposure as a result playing football undergo significant brain changes, researchers report.
Researchers have developed a new algorithm that uses data based on metabolites in blood samples to successfully predict if a child is on the autism spectrum.
Researchers have created an artificial neural network from synthetic DNA that is able to correctly identify handwritten numbers.
Coronaviruses rely on the TOP3B enzyme as a host factor, researchers report. Using artificial intelligence and molecular modeling, researchers were able to identify drug candidates that could serve as TOP3B inhibitors. Studies are now underway to test the drug candidates against living cell cultures and viruses, including COVID-19.
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.
Researchers report teaching an AI with an activity simulator could eventually help robots to perform chores like making a cup of coffee or setting a table.
Researchers used deep learning to analyze brain cells by exposing the algorithm to both stained and unstained images. The program was able to identify where cells were located in culture dishes by learning to spot the cell's nucleus.
Researchers have created a deep learning algorithm that can be tricked by optical illusions, just like humans. The findings shed new light on the human visual system and may help improve artificial vision.
Using ECoG and machine learning, researchers decoded spoken words and phrases in real-time from brain signals that control speech. The technology could eventually be used to help those who have lost vocal control to regain their voice.
