Lightweight Neural Modules Push Real-Time Facial Expression Recognition on Mobile Devices
A new study reports three neural modules that cut computational cost by 26.7 percent while improving accuracy benchmarks for real-time ...
A new study reports three neural modules that cut computational cost by 26.7 percent while improving accuracy benchmarks for real-time ...
An Android research prototype combines image processing, deep learning and internet-connected analysis to identify a person’s face type and display ...
KAIST researchers developed a technology called SHIRBT-MMF that identifies daily stress from repeated smartphone behaviors such as messenger chatting, web ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine