A recent study shows how the public's use of parks and other green spaces in metropolitan areas can be tracked using anonymized GPS data from people's smartphones, which could help guide their management.
Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a spectrum of research interests.
Washington [US], July 16 (ANI): According to the findings found in a study conducted by the PLOS Computational Biology, people tend to avoid unwanted thoughts by rejecting and replacing them frequently. However, if an association is avoided proactively, it becomes more efficient in preventing the constant loop of unwanted thoughts.
Washington [US], July 16 (ANI): According to the findings found in a study conducted by the PLOS Computational Biology, people tend to avoid unwanted thoughts by rejecting and replacing them frequently. However, if an association is avoided proactively, it becomes more efficient in preventing the constant loop of unwanted thoughts.
Washington [US], July 15 (ANI): A new study revealed that when attempting to avoid an unwanted thought, people frequently reject and replace it after it occurs. However, avoiding an association proactively can be much more efficient and help prevent the repetitive looping of unwanted thoughts.
Tokyo [Japan], June 25 (ANI): Andrea Benucci and colleagues at the RIKEN Center for Brain Science have created artificial neural networks that can learn to recognize objects more rapidly and precisely, according to a new study.
London [UK], August 13 (ANI): A new strategy by Warwick University for modelling the spread of COVID-19 incorporates smartphone-captured data on people's movements and shows promise for aiding the development of optimal lockdown policies.