Delivering smarter smarts to edge and free-standing devices, tinyML can be part of a broader AI/ML deployment. How tinyML differs from mainstream machine learning. How tinyML is being applied. What ...

Infineon’s recent acquisition of Imagimob, a Stockholm, Sweden-based supplier of TinyML platforms, raises a fundamental question: where the chip industry stands in adopting and accelerating this ...

Artificial intelligence and machine learning (AI/ML) are being employed in a wide range of embedded applications from fine-tuning images in a smartphone to doing predictive maintenance for a ...

Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...

The implications of TinyML accessibility are very important in today’s world. For example, a typical drug development trial takes about five years as there are potentially millions of design decisions ...

AIoT (Artificial Intelligence of Things) systems are capable of learning in real time, performing autonomous actions, ...