Mouser will host a new limited-space workshop to teach attendees how to use machine learning (ML) when designing edge devices. The company has partnered with Edge Impulse and Silicon Labs for this 'Machine Learning on Edge Devices' workshop, which will be held in Munich on 7 June, accommodating 45 participants.
As part of Mouser's mission to empower innovation, it is hosting this first workshop in EMEA with key technology manufacturers, created to help hardware startups and other innovative companies produce cutting-edge solutions with the latest technologies.
"Mouser recognises the increasing significance of embedded machine learning, and we are continuously establishing partnerships with leading suppliers in this space to help demystify this trend," says Mark Patrick, technical marketing manager, EMEA for Mouser Electronics. "We want to help innovators in hardware design understand the practical aspects of this transformational technology and make it more accessible."
ML can be embedded in edge devices to accomplish complex tasks such as image recognition, natural language processing, and speech recognition. This allows design engineers to construct products that are more intelligent and responsive to user input. ML can also be employed to enhance edge devices' performance, efficiency and overall life cycle.
Participants in this workshop will learn the benefits of moving workloads from the cloud to the edge and how to develop and deploy ML on any edge device utilising Silicon Labs microcontrollers. Attendees will also discover how to build, train and develop an ML algorithm for these MCUs more quickly by utilising Edge Impulse software. An added benefit will be the experience of working with the products and obtaining advice from industry experts during the process.