Latest news with #AnalogueDevices
Techday NZ
18-07-2025
- Business
- Techday NZ
Open-source AutoML eases edge AI deployment for developers
An open-source AutoML solution called AutoML for Embedded, co-developed by Analogue Devices and Antmicro, is now available as part of the Kenning framework, aimed at easing the deployment of machine learning models on embedded edge devices. AutoML for Embedded is designed to streamline and automate many of the typical tasks developers encounter when attempting to implement artificial intelligence on microcontrollers and other resource-constrained hardware. These tasks often include data preprocessing, model selection, hyperparameter tuning, and device-specific optimisation. Workflow and compatibility This solution is distributed as a Visual Studio Code plugin and is built upon the Kenning library, emphasising cross-platform compatibility. It integrates with CodeFusion Studio and offers support for ADI's MAX78002 AI Accelerator Microcontroller Units (MCUs) and MAX32690, enabling direct model deployment to these hardware platforms. The workflow also supports rapid prototyping and testing through Renode-based simulation environments and the Zephyr real-time operating system (RTOS). According to the developers, this flexibility allows users to construct and deploy machine learning models on a wide variety of target platforms, avoiding vendor lock-in. Step-by-step tutorials, reproducible pipelines, and sample datasets are included to assist users in moving from raw data to edge AI deployment without requiring specialist data science expertise. Developer-oriented features The solution is the outcome of collaboration between Analogue Devices and Antmicro, who have combined hardware knowledge with open-source approaches. "Building on the flexibility of our open-source AI benchmarking and deployment framework, Kenning, we were able to develop an automated flow and VS code plugin that vastly reduces complexity of building optimised edge AI models," said Michael Gielda, Vice President of Business Development at Antmicro. "Enabling workflows based on proven open-source solutions is the backbone of our end-to-end development services that help customers take full control of their product. With flexible simulation using Renode and seamless integration with the highly configurable and standardised Zepher RTOS, the road to transparent and efficient edge AI development using AutoML in Kenning is open." How the automation works AutoML for Embedded utilises sequential model-based algorithm configuration (SMAC) to automate the search for optimal model architectures and training parameters. Hyperband with Successive Halving is applied to allocate computational resources towards the most promising candidate models. One of the key features is the automated verification that candidate models will fit within the memory limitations of target devices, allowing for more successful deployment on constrained systems. After the search and optimisation stages, models can be further refined, evaluated, and benchmarked using standard workflows within the Kenning framework. Detailed reports on model size, inference speed, and accuracy inform user decisions prior to deployment. Applications and demonstrations AutoML for Embedded has already been utilised in use cases such as anomaly detection for sensory time series data. In a detailed demonstration, a model created by the tool was deployed on the ADI MAX32690 MCU and tested in both a physical hardware setup and its digital twin using Renode simulation, enabling performance monitoring in real time. Potential application areas outlined by the project include image classification and object detection on low-power camera systems, predictive maintenance and anomaly detection in industrial IoT sensors, natural language processing for on-device text analysis, and real-time action recognition for sports and robotics settings. The package is made available to developers via the Visual Studio Code Marketplace and GitHub, reflecting its open-source nature and broad accessibility.
Irish Times
28-05-2025
- Business
- Irish Times
Minister hails ‘exciting' degree where students spend two years working in industry
A new biopharma degree where students spend half their time on campus and half completing paid work experience has been hailed by the Minister for Higher Education as an 'exciting step forward' for how third level education is delivered in Ireland. The new BSc/MSc in immersive bioscience and biotherapeutics at University of Limerick (UL) is due to be launched on Thursday. The development comes at a time of debate in higher education circles about whether the sector is too reliant on industry-sponsored research and education in order to plug State funding gaps. UL has described the degree as a new venture. designed in collaboration with international companies such as Eli Lilly and Analogue Devices, which seeks to 'cultivate the leading scientific minds of the future'. READ MORE The companies will contribute to curriculum design, participate as guest contributors and host students on industry residencies. The first intake of students will be in September 2026. It follows a similar model to UL's immersive software engineering programme, now in its third year of operation. Students will receive a bachelor and master of science degree in four years, with two years spent learning on campus and two years working in biotech industries. UL says students will have the 'competitive advantage of two years of experience working in industry when they graduate'. Minister for Higher Education James Lawless welcomed the launch of the 'iBio' programme. 'This innovative, industry-led and learner-focused course recognises that not all learning happens in lecture halls,' he said. 'Through immersive, hands-on experiences, both on campus and in the workplace, students will graduate with not just a degree, but two full years of real-world industry experience.' The programme, he said, offered 'more choice, more relevance, a modern model of education that's fit for the future and supports the vision of education driving Ireland's economy.' Acting UL president Professor Shane Kilcommins said the new degree represented a 'giant leap forward' in the delivery of undergraduate scientific education. Students, he said, will be 'embedded in the knowledge community where they are active and interactive partners in the learning process.' Prof Jakki Cooney, iBio course director, said the course was all about developing a passion for the science of disease and medicines, about being creative and curious about the world, embracing challenges and working in teams using scientific data to solve complex problems. 'We are offering a new way to learn the science and biology of medicine making and discovery,' she said. The Government has acknowledged that there is a funding gap of more than €300m facing Irish higher education and has pledged to address this over successive budgets. Meanwhile, research by into funding of Irish universities found that industry funding of third level is increasingly becoming the norm. The paper highlighted potential risks such as the erosion of support for academic endeavours that may not be perceived as having commercial value, as well as challenges in preserving the integrity of academia in a landscape increasingly driven by market-driven priorities.
