German electronics firm Infineon has introduced the ModusToolbox Machine Learning to enable TinyML for secure AIoT.

The combination of artificial intelligence (AI) and IoT, known as AIoT, provides machine learning capabilities in connected devices, enabling them to perform intelligent tasks.

According to Markets & Markets, the AIoT market is expected to increase from $5.1bn in 2019 to $16.2bn by 2024, growing at a CAGR of 26 per cent.

In its latest push to accelerate the development of differentiated AIoT products, Infineon Technologies has released ModusToolbox Machine Learning (ML). It enables deep learning-based workloads on Infineon’s PSoC microcontrollers.

ModusToolbox ML is an added feature in ModusToolbox software and tools that provides middleware, software libraries and tools for designers to evaluate and deploy deep learning-based ML models.

This allows seamless integration with existing frameworks available in ModusToolbox so ML workloads can be easily integrated into secured AIoT systems.

The toolset is said to provide 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 optimise 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,” said Steve Tateosian, vice president of IoT compute and wireless at Infineon. “Enabled by TinyML, AIoT is a natural evolution, where acting on data locally helps manage data privacy, latency and overall system reliability. ModusToolbox bridges a critical gap between machine learning and embedded systems design by providing flexible tools and modular libraries to easily optimise, validate and deploy deep learning models from popular training frameworks on Infineon’s ultra-low power microcontrollers.”

ModusToolbox ML delivers a 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.