Brief

This webinar focuses on using AI to create virtual sensors for estimating hard-to-measure signals, like battery state of charge. It demonstrates integrating AI models into system-level design and validating them against performance and deployment constraints. The workflow covers designing, verifying, compressing, and deploying these AI sensors to embedded processors within a unified environment. AI

Researchers have developed a novel radar system capable of distinguishing between insect species, including pollinators like bees and wasps. This system utilizes millimeter waves and analyzes micro-Doppler signatures generated by insect wingbeats to identify subtle differences in their movement patterns. A machine learning model trained on data from five species achieved 85% accuracy in species-level classification and 96% accuracy in differentiating between bees and wasps. AI