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 ...

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 ...

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 ...

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 Company will demonstrate how its AI-based neural input technology interprets neural signals to control digital devices using touchless finger movements At the Summit, the Company will showcase its ...

You might be under the impression that machine learning costs thousands of dollars to work with. That might be true in many cases, but there’s more to machine learning than you might think. For ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

In the ebb and flow of ideas and innovation, definitions and assumptions are always evolving, e.g., mini vs. micro. So, now the expanding realm of AI and machine learning has a new star, the world of ...