Optimized Lightweight Face Recognition Network Improves Performance on Embedded AI Platforms
Researchers have developed an improved MobileFaceNet model that balances accuracy and efficiency on embedded artificial intelligence platforms.
Researchers have developed an improved MobileFaceNet model that balances accuracy and efficiency on embedded artificial intelligence platforms.
Researchers at TU Delft have developed MonoRace, an AI system that flew a racing drone at up to 100 km/h ...
Researchers at Aston University have created SEdgeNet, a graph neural network that recognises human activities from sparse millimetre-wave radar point ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine