Imagimob today announced that the Imagimob tinyML platform supports Arduino Nicla Voice, and that it adds fall detection to the Nicla Voice tinyML application portfolio. The fall detection application ...

Here's a book that may interest Gadget Masters looking to build some machine learning on their own local device: TinyML, as in tiny machine learning. Its full title is TinyML: Machine Learning with ...

TinyML is a generic approach for shrinking AI models and applications to run on smaller devices, including microcontrollers, cheap CPUs and low-cost AI chipsets. While most AI development tools focus ...

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 ...

While machine-learning (ML) development activity most visibly focuses on high-power solutions in the cloud or medium-powered solutions at the edge, there is another collection of activity aimed at ...

It was good to catch this on twitter. One Gadget Master, Marcelo Jose Rovai, was tweeting about using an Arduino Nano with TinyML to recognise the word "Yes". And looking into it, he flagged his ...

When you think of "machine learning," you probably think of GPU clusters crunching terabytes of data, or at the bare minimum, the likes of a singular humble RTX 5090 being used for data processing.