THE 2-MINUTE RULE FOR DEVICE-LEVEL INTELLIGENCE

TinyML models is often trained on a range of data, such as sensor data, photos, and textual content. Once trained, the models is usually deployed to devices and used to make predictions or decisions without the need for any cloud relationship.Specialized knowledge and skills: Embedded AI demands know-how over and above common embedded systems, data