TinyML Applications – How Machine Learning Can Enhance the User Experience and Security in Smart Home Products Such as Fingerprint Reading Door Locks

Vital Sign and Seat Occupancy Detection Using AURIX TC3x6 ADAS 60GHz Radar Baseboard (RBB)

Coffee Leaf Health Diagnosis on Ultra-low-power CNN Accelerator

Sidestepping Deployment Bottlenecks Before they Happen: tinyML Models Using Virtual Targets

Enhancing neural processing units with digital in-memory computing

Seventh-SensIC: Evaluating Time Series Data Using Decision Trees in Hardware

tinyML: From Concept to Reality

From the lab to the edge: Post-Training Compression

Machine Learning processors are used to create advanced insights on a biometric wearable patch

tinyML Success Stories with Sang Won Lee