Ensemble learning methods have been widely used in machine learning in recent years due to their high-predictive performance. With the development of genetic programming-based symbolic regression ...

Federated learning (FL) is the promising privacy-preserve approach to continually update the central machine learning (ML) model (e.g., object detectors in edge servers) by aggregating the gradients ...

L+R is also launching a new Emerging Technology Accelerator Program for Spatial Computing, with hubs in New York City, Milan, Madrid, and Doha.

The five-year research and development agreement focuses on data-driven innovations, including improving biometric liveness detection and matching algorithms. This collaboration aims to strengthen the ...