Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

There are also trade-offs in creativity. Because the energy critic favors low-energy (i.e., high-probability) text, the model ...

The human brain can concurrently support a wide range of advanced mental functions, including attention, memory and the ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

This work, combining behavioural genetics and calcium imaging, provides evidence for a form of learning in Drosophila that derives solely from direct or (optogenetically induced) phantom experience of ...