Infineon Technologies : new ModusToolbox™ Machine Learning enables TinyML for secure AIoT
May 19, 2021 at 12:12 pm EDT
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Infineon's new ModusToolbox™ Machine Learning enables TinyML for secure AIoT
May 19, 2021| Market News
Munich, Germany - 19 May 2021 - The combination of AI and IoT, known as the Artificial Intelligence of Things (AIoT), provides machine learning capabilities in connected devices, enabling them to perform intelligent tasks. According to Markets and Markets, the AIoT market is expected to increase from US$5.1 billion in 2019 to US$16.2 billion by 2024, growing at a CAGR of 26 percent. In the company's latest push to accelerate the development of differentiated AIoT products, Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) today announced the release of ModusToolbox™ Machine Learning (ML). It enables deep learning-based workloads on Infineon's PSoC™ microcontrollers (MCUs).
ModusToolbox ML is a new feature in ModusToolbox Software and Tools that provides middleware, software libraries and special tools for designers to evaluate and deploy deep learning-based ML models. This feature allows seamless integration with existing frameworks available in ModusToolbox so that ML workloads can be easily integrated into secured AIoT systems. The rich toolset provides a streamlined machine learning model deployment workflow that allows developers to be more efficient and deliver quality products to market faster.
ModusToolbox ML allows developers to use their preferred deep learning framework, such as TensorFlow, to be deployed directly to PSoC MCUs. In addition, the feature helps designers optimize the model for embedded platforms to reduce size and complexity, as well as validate performance against test data.
'As the IoT scales, massive amounts of data are being generated at the edge. Enabled by TinyML, AIoT is a natural evolution, where acting on data locally helps manage data privacy, latency and overall system reliability,' said Steve Tateosian, Vice President of IoT Compute and Wireless at Infineon. 'ModusToolbox bridges a critical gap between machine learning and embedded systems design by providing flexible tools and modular libraries to easily optimize, validate and deploy deep learning models from popular training frameworks on Infineon's ultra-low power microcontrollers.'
ModusToolbox ML delivers an unmatched developer experience that reduces the complexities system developers face when developing AIoT applications. These applications typically require a seamless Machine Learning workload integration, along with compute, connectivity and cloud domains that ModusToolbox ML can address.
Availability
ModusToolbox is available for download here. More information about Infineon's machine learning solutions is available at www.cypress.com/solutions/machine-learning-solutions.
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INFCSS202105-071
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Infineon's ModusToolbox™ Machine Learning delivers an unmatched developer experience that reduces the complexities system developers face when developing AIoT applications. It allows developers to use their preferred deep learning framework, such as TensorFlow, to be deployed directly to PSoC™ microcontrollers. In addition, the new ModusToolbox feature helps optimize the model for embedded platforms to reduce size and complexity, as well as validate performance against test data.
ModusToolbox_ML
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Infineon Technologies AG published this content on 19 May 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 19 May 2021 16:11:01 UTC.
Infineon Technologies AG is one of the world's leading manufacturers of semiconductors. The group's products include power semiconductors, sensors, microcontrollers, digital, mixed-signal and analog ICs, discrete semiconductor modules, switches, interface ICs, motor-controlling ICs, RF power transistors, voltage regulators, and electronic safety components. Net sales break down by area of activity as follows:
- automotive (50.5%): semiconductor products used in the automotive industry, and memory products for specific applications for automotive, industrial, information technologies, telecommunications and consumer electronics.
- power & sensor systems (23.3%): semiconductors for energy-efficient power supplies, mobile devices, mobile phone network infrastructures, human-machine interaction as well as applications with special demands on their robustness and reliability.
- industrial power control (13.5%): semiconductor products for the conversion of electrical energy for small, medium and high-power applications, used in the manufacturing, the low-loss transmission, the storage and the efficient use of electrical energy;
- connected secure systems (12.6%): semiconductors for networked devices, card-based applications, and government documents; microcontrollers for industrial, entertainment, and household applications, components for connectivity systems, various customer support systems;
- other (0.1%).
Net sales are distributed geographically as follows: Germany (12.4%), Europe/Middle East/Africa (14.4%), China/Hong Kong/Taiwan (32.3%), Japan (10.5%), Asia/Pacific (15.9%), the United States (12.1%) and Americas (2.4%).