How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...

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 ...

There is a rapidly growing need for power-efficient artificial intelligence (AI) to run on smaller devices at the edge. Power-hungry edge devices send massive amounts of data to and from the cloud. At ...

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, ...

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 ...

Infineon Technologies announced on May 16 the acquisition of Sweden-based startup Imagimob AB, a platform provider for machine learning solutions for edge devices. With this acquisition Infineon ...

Advanced semiconductor solutions provider Renesas Electronics Corporation released an update on its progress in providing artificial intelligence (AI) and tiny machine learning (TinyML) solutions one ...