Edge Impulse Announces Bosch Sensortec Support for Edge ML Sensing Applications

Edge Impulse | July 20, 2022 | Read time : 03:00 min

Edge Impulse
Edge Impulse has announced that its machine learning development platform now supports Bosch Sensortec sensors, utilized on the new Arduino Nicla Sense ME microcontroller board to allow for unprecedented intelligence in edge-based products and solutions.

The Nicla Sense ME is the first Arduino Pro product developed in collaboration with Bosch Sensortec, designed specifically for accelerating the development of intelligent sensing solutions. Measuring just 22.86mm×22.86mm (0.9in.×0.9in.), the Nicla Sense ME features a powerful 64MHz Arm Cortex-M4 microcontroller that can easily handle edge AI functions even with a low power draw; the option to use battery power further complements its size and portability for remote environmental monitoring. Meanwhile, the advanced Bosch Sensortec sensors provide multiple ways to collect and analyze data, including: accelerometer and gyroscope (BHI260AP); high-accuracy pressure sensor (BMP390); a geomagnetic sensor (BMM150); and a combined low-power gas, pressure, temperature, and humidity sensor (BME688). These four sensors can also be used in concert for concurrent environmental and movement analysis.

Edge Impulse, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data, such as those collected by Sensortec sensors. The company's platform streamlines the entire process of gathering and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The Edge Impulse development platform, already in use by thousands of companies, stands to unlock massive value across every industry, with millions of developers making billions of devices smarter.

"The capabilities of the Nicla Sense ME and its Bosch Sensortec sensors open incredible opportunities for enterprise applications. "Using the accessible development tools provided by Edge Impulse, Bosch, and Arduino will allow more engineers and developers to move intelligence closer to where the data is being collected."

Edge Impulse CEO and co-founder Zach Shelby

"The next generation of industrial monitoring is smart sensing that can be deployed in remote environments," said Bosch Sensortec CEO Stefan Finkbeiner. "Bosch Sensortec's capabilities are perfectly matched to Arduino's hardware and Edge Impulse's machine learning platform to rapidly design, train, and launch custom tools for almost any service."

About Edge Impulse
Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem.

About Bosch Sensortec
Bosch Sensortec GmbH, a fully owned subsidiary of Robert Bosch GmbH, develops and markets a wide portfolio of microelectromechanical systems (MEMS) sensors and solutions tailored for smartphones, tablets, wearables and hearables, AR/VR devices, drones, robots, smart home and IoT (Internet of Things) applications. The product portfolio includes 3-axis accelerometers, gyroscopes and magnetometers, integrated 6- and 9-axis sensors, smart sensors, barometric pressure sensors, humidity sensors, gas sensors, optical microsystems and comprehensive software. Since its foundation in 2005, Bosch Sensortec has emerged as the MEMS technology leader in the markets it addresses. Bosch has been both a pioneer and a global market leader in the MEMS sensor segment since 1995 and has, to date, sold more than 15 billion MEMS sensors.


The demand for speed is constant and disruptive. The right infrastructure provides IT the opportunity to lead in this time of change. In this infographic, capture a quick view on ways you can take advantage of this transformation today.


The demand for speed is constant and disruptive. The right infrastructure provides IT the opportunity to lead in this time of change. In this infographic, capture a quick view on ways you can take advantage of this transformation today.

Related News


Keysight Announces New Device Modeling Software to Enable One-Stop Workflow

Keysight Technologies | August 26, 2022

Keysight Technologies, Inc., a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to connect and secure the world, announced a new model generator (MG) environment that increases productivity for semiconductor device modeling engineers with improved automation across the entire workflow. Semiconductor device modeling engineers require automated tools to create accurate simulation models and process design kits (PDK) for baseband and radio frequency (RF) integrated circuit (IC) designs that leverage both silicon (CMOS) and compound III-V technologies. "Keysight’s device modeling 2023 software suite addresses the needs of customers who generate high-quality SPICE models in limited time. "This new solution offers workflow and speed improvements and represents a significant advancement toward delivering a flexible and open environment that integrates all Keysight modeling technologies." Ma Long, manager of device modeling and characterization at Keysight Technologies To address the growing needs of device modeling engineers, Keysight’s device modeling 2023 software suite includes: PathWave Device Modeling (IC-CAP) 2023 features the MG, a new modeling flow manager that enables a one-click import of measured data, creation of trend plots, organization of the extraction flow, basic QA verification and documentation. IC-CAP also upgrades Radio Frequency Gallium Nitride (RF GaN) packages, a wide bandgap material that offers significant advantages in high-power RF applications, with support for the latest Compact Model Coalition (CMC) model versions including improved extraction flows that account for trapping and thermal effects. PathWave Model Builder (MBP) 2023 introduces a new and exclusive link to Synopsys’ PrimeSim™ HSPICE®. This ultra-fast link enables optimization and tuning without any speed penalty and delivers access to HSPICE features such as CMC standard models and Verilog-A compiler for custom models. PathWave Model QA (MQA) 2023 enhances the new project template-based workflow with various template examples including statistical, corner, table and RF. Advanced Low-frequency Noise Analyzer (A-LFNA) 2023 delivers an integrated and compact measurement system through support of M9601A PXIe Precision Source/Measure Unit. About Keysight Technologies Keysight delivers advanced design and validation solutions that help accelerate innovation to connect and secure the world. Keysight’s dedication to speed and precision extends to software-driven insights and analytics that bring tomorrow’s technology products to market faster across the development lifecycle, in design simulation, prototype validation, automated software testing, manufacturing analysis, and network performance optimization and visibility in enterprise, service provider and cloud environments. Our customers span the worldwide communications and industrial ecosystems, aerospace and defense, automotive, energy, semiconductor and general electronics markets. Keysight generated revenues of $4.9B in fiscal year 2021.

Read More


Seeed Studio Joins NVIDIA Metropolis Help Accelerate Edge AI Across Industries

Seeed Studio | August 25, 2022

Seeed Studio, a provider of AIoT Hardware Service Platform, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world's most important spaces and operations safer and more efficient. Seeed is a reseller of NVIDIA embedded systems and a member of the NVIDIA Jetson ecosystem for edge AI. The company offers NVIDIA Jetson module powered full system and carrier boards, integrating software into AI solutions spanning many industries. Offering a one-stop product experience, Seeed speeds time to market for customers by handling all licensing, integration, manufacturing, fulfillment, and distribution. Seeed offers the following products and service benefits to AI enterprises that are wishing to take the NVIDIA Jetson edge AI platform from pilot to production. If interested, please sign up using this form. 1 pc reComputer J1010 powered by Jetson Nano module; 1 pc J202 carrier board for Jetson Nano/Xavier NX; Free custom image-flashing services for 1 pcs reComputer. NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments, and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms, and using an enterprise-class approach to their solutions. Members can gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. "It's a great honor to join NVIDIA Metropolis. "We look forward very much to seeing more AIoT solutions scaling up to bring digital transformation to different business sectors." Eric Pan, Founder and CEO at Seeed About Seeed Studio Seeed Studio has been serving the global developer community since 2008, by providing open technology and agile manufacturing services, with the mission to make hardware more accessible and lower the threshold for hardware innovation. With Shenzhen's vast resources, and trusted technology and distribution partners around the world, Seeed strives to be the most integrated platform for creating hardware solutions for IoT and edge AI applications.

Read More


Cross-Industry Hardware Specification to Accelerate AI Software Development

Intel | September 17, 2022

Arm, Intel and Nvidia have jointly authored a paper describing an 8-bit floating point (FP8) specification and its two variants E5M2 and E4M3 to provide a common interchangeable format that works for both artificial intelligence (AI) training and inference. This cross-industry specification alignment will allow AI models to operate and perform consistently across hardware platforms, accelerating AI software development. Computational requirements for AI have been growing at an exponential rate. New innovation is required across hardware and software to deliver computational throughput needed to advance AI. One of the promising areas of research to address this growing compute gap is to reduce the numeric precision requirements for deep learning to improve memory and computational efficiencies. Reduced-precision methods exploit the inherent noise-resilient properties of deep neural networks to improve compute efficiency. Intel plans to support this format specification across its AI product roadmap for CPUs, GPUs and other AI accelerators, including Habana Gaudi deep learning accelerators. FP8 minimizes deviations from existing IEEE 754 floating point formats with a good balance between hardware and software to leverage existing implementations, accelerate adoption and improve developer productivity. The guiding principle of this format proposal from Arm, Intel and Nvidia is to leverage conventions, concepts and algorithms built on IEEE standardization. This enables the greatest latitude for future AI innovation while still adhering to current industry conventions.

Read More