I came across this link on the ARM LinkedIn page about some new software kit developed for the Cortex M range. What I found interesting though is a comment at the bottom from an ecosystem partner Qeexo praising it. When I searched for info on Qeexo I discovered that they have been recently acquired by TDK to strengthen their ML and Edge position
Keil MDK Version 6 delivers new features that are optimized for the entire Cortex-M and Ethos-U processor portfolio.
community.arm.com
The IoT runs on Arm, look at the Cortex-M processor family, which is undoubtedly the de-facto industry standard for embedded compute with over 9,500 different microcontrollers from 38 different silicon vendors available today. The demand for more machine learning (ML) capabilities in IoT applications is growing exponentially, and our roadmap has evolved to meet these needs with the introduction of the
Cortex-M55and
Cortex-M85 microcontrollers (MCUs), designed to address high-performance ML and DSP workloads, and Neural Processing Units such as the Ethos-U microNPU family which accelerates ML inference in resource-constrained embedded and IoT devices.
As IoT devices get smarter, developers are facing increasing software complexity that requires new development flows that create optimized ML models combined with efficient device drivers. It is therefore crucial that the software development platforms and tools we are providing to the ecosystem are evolving alongside our processor roadmap. The
Keil Microcontroller Development Kit (Keil MDK) is the most comprehensive software development solution for Arm Cortex-M-based embedded, IoT, and ML edge device applications, and today I am excited to share that we are releasing Keil MDK Version 6, optimized for the entire Arm Cortex-M and Ethos-U processor portfolio. The compute capabilities of todayâs microcontrollers require MLOps for deploying machine learning models and DevOps for validating complex software workloads.
Qeexo AutoML is designed to make machine learning accessible to a wider range of users, including businesses, researchers, and developers who may not have deep knowledge of ML. Based on sensor data, Qeexo AutoML automatically builds machine learning solutions that are optimized for Arm processors and is used in building a wide variety of applications including: industrial, mobile, home IoT, medical, and automotive. Combined with Keil MDK and Arm Virtual Hardware, the complete end-to-end ML workflow for embedded developers is now easier than ever.â
Michael Gamble, Director Product Management, TDK Qeexo.
/PRNewswire/ -- TDK Corporation (TSE: 6762) (CEO & President: Noboru Saito, hereinafter "TDK") announced that today TDK has agreed to acquire Qeexo, Co. (CEO:...
www.prnewswire.com
- TDK to acquire Qeexo, Co, a leading developer of automated machine-learning (ML) platform that accelerates the development of tinyML models for low power, always-on intelligent platforms
- TDK aims to further strengthen its ML expertise and simplify ML application development to become a leader in delivering smart edge solutions
- Acquisition enables TDK to accelerate the transition to Industry 4.0 with smart edge solutions