Transfer learning is a promising approach for reducing training time in a brain-computer interface (BCI). However, how to effectively transfer data from previous users to a new user poses a huge ...

It is commonly believed that in transfer learning including more pre-training data translates into better performance. However, recent evidence suggests that removing data from the source dataset can ...

Organizations holding sensitive data for decades, health records, genomic files, diplomatic cables, have the most to lose if they wait until a full‑scale quantum computer arrives.