Microchip launches MPLAB ML development suite
27 September 2023
AI & ML
Machine learning (ML) is becoming a standard requirement for embedded designers working to develop or improve a vast array of products. Meeting this need, Microchip Technology has launched a complete, integrated workflow for streamlined ML model development with its new MPLAB Machine Learning Development Suite. This software toolkit can be utilised across Microchip’s portfolio of microcontrollers (MCUs) and microprocessors (MPUs) to add an ML inference quickly and efficiently.
“Machine learning is the new normal for embedded controllers, and utilising it at the edge allows a product to be efficient, more secure and use less power than systems that rely on cloud communication for processing,” said Rodger Richey, VP of Microchip’s development systems business unit. “Microchip’s unique, integrated solution is designed for embedded engineers and is the first to support not just 32-bit MCUs and MPUs, but also 8- and 16-bit devices to enable efficient product development.”
ML uses a set of algorithmic methods to curate patterns from large data sets to enable decision making. It is typically faster, more easily updated, and more accurate than manual processing. One example of how this tool will be utilised by Microchip customers is to enable predictive maintenance solutions to accurately forecast potential issues with equipment used in a variety of industrial, manufacturing, consumer and automotive applications.
When used in combination with the MPLAB X IDE, the new toolkit provides a complete solution that can be easily implemented by those with little to no ML programming knowledge.
Further reading:
Ryzen-based computer on module
Altron Arrow
AI & ML
SolidRun announced the launch of its new Ryzen V3000 CX7 Com module, configurable with the eight-core/16-thread Ryzen Embedded V3C48 processor.
Read more...
What is an NPU?
AI & ML
A neural processing unit is a specialised hardware accelerator designed to efficiently process tasks related to artificial intelligence, in particular deep learning models.
Read more...
Low SWaP SoM for AI applications
RFiber Solutions
AI & ML
Matchstiq’s G20 and G40 are low SWaP-C SDRs tailored for AI and ML applications by combining an RF module, SDR, FPGA, CPU, and GPU into a single transceiver platform.
Read more...
Powering the intelligent edge
EBV Electrolink
AI & ML
STMicroelectronics released new devices from the second generation of its industrial MPUs, the STM32MP2 series, to drive future progress in smart factories, smart healthcare, smart buildings, and smart infrastructure.
Read more...
A perfect match for next-gen computing
Vepac Electronics
AI & ML
Teguar’s collaboration with Hailo marks a significant step forward in their mission to provide powerful and reliable computing solutions for a wide range of industries.
Read more...
High-performance low SWaP SDR
RFiber Solutions
AI & ML
The Matchstiq X40 from Epiq is a high-performance low SWaP SDR optimised for AI and ML and the RF edge.
Read more...
AAEON introduces Amston Lake to processor options
Vepac Electronics
AI & ML
Embedded computing company AAEON has launched the PICO-ASL4 and GENE-ASL6, both featuring the new Intel Atom x7000RE processor series for the edge.
Read more...
Protecting rhinos with a tech shield
AI & ML
HYDRA provides instant data creation, and aggregates data from drones, cameras, sensors, and mobile apps to provide a comprehensive picture of what’s happening across these large landscapes.
Read more...
Avnet Silica launches new AI microsite
Avnet Silica
AI & ML
Avnet Silica has developed a new AI microsite where visitors can discover a plethora of AI/ML resources, including technical articles, webinars, and podcasts.
Read more...
Embedding AI into your next project?
Altron Arrow
AI & ML
ST has collated all its AI tools into one resource, the ST Edge AI Suite, and includes free design tools, case studies, and other resources to accelerate AI development into embedded systems.
Read more...
printer friendly version