Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

New research by Georgetown scientists shows how the brain rewires itself to automate learned tasks. The findings challenge a ...

A new study reveals that extensive training rewires the brain, offloading automated skills to the temporal cortex to allow true multitasking.

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

New research reveals a mental workaround that is activated through repetition and experience.

Multi-target quantum compilation protocol. Its core is a quantum circuit designed for quantum computers. The circuit is built from a pool of gates, with the input being a set of target operations. It ...