Lattice Semiconductor announced availability of performance enhancements and new and improved application reference designs for its award-winning sensAI solutions stack. The performance enhancements include support for more compact/efficient neural network models and deeper quantization support to accommodate larger models for processing higher resolution and/or faster frames-per-second images in vision applications, delivering more accurate Edge AI performance. The new reference designs let sensAI customers quickly and easily create popular AI experiences, including key phrase detection and human face recognition. "MCUs struggle to deliver the performance needed for Edge AI while still maintaining strict power budgets. But thanks to their small size, support for parallel processing and sensor-agnostic AI inferencing, Lattice FPGAs are a compelling platform for any number of Edge AI applications requiring low power operation," said Hussein Osman, Market Segment Manager, Lattice Semiconductor.