INSUBCONTINENT EXCLUSIVE:
Cartesiam, a startup that aims to bring machine learning to edge devices powered by microcontrollers, has launched a new tool for developers
who want an easier way to build services for these devices
The new NanoEdge AI Studio is the first IDE specifically designed for enabling machine learning and inferencing on Arm Cortex-M
microcontrollers, which power billions of devices already.As Cartesiam GM Marc Dupaquier, who co-founded the company in 2016, told me, the
company works very closely with Arm, given that both have a vested interest in having developers create new features for these devices
He noted that while the first wave of IoT was all about sending data to the cloud, that has now shifted and most companies now want to limit
the amount of data they send out and do a lot more on the device itself
Since then, Cartesiam has focused on the Cortex-M platform, which worked out for the better, given how ubiquitous it has become
language understanding here
Instead, using machine learning on these devices is more about making objects a little bit smarter and, especially in an industrial use
corporations that build Cortex-M-based devices
The NanoEdge Studio makes this development work far easier, though
We are actually not smart enough for that
But we are unbelievably smart for the embedded designer
algorithm for a given combination of sensors and use cases and the libraries it generates are extremely small and use somewhere between 4K
to 16K of RAM.NanoEdge Studio for both Windows and Linux is now generally available
