Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...
The German sensor-maker Leuze claims that it has been able to cut measurement errors in demanding industrial applications by ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...