The goal of the team’s study was to demonstrate the potential for deep-learning architecture to support early and reliable identification of cystic hygroma from first trimester ultrasound scans.

For instance, the programmable solutions group at Intel where the Altera teams were integrated post-acquisition has just developed an FPGA overlay for deep learning inference that demonstrates some ...