NXP Delivers Embedded AI Environment to Edge Processing

Embedded Artificial Intelligence (AI) is quickly becoming an essential capability for edge processing, gives'smart' devices an ability to become'aware' of its surroundings and make decisions on the input received with little or no human intervention. NXP's ML environment enables fast-growing machine learning use-cases in vision, voice, and anomaly detections. The vision-based ML applications utilize cameras as inputs to the various machine learning algorithms of which neural networks are the most popular. These applications span most market segments and perform functions such as object recognition, identification, people-counting and others. Voice Activated Devices (VADs) are driving the need for machine learning at the edge for wake word detection, natural language processing, and for'voice as the user-interface' applications.