New Reality AI Explorer Tier from Renesas

Renesas Electronics Corporation has introduced Reality AI Explorer Tier, a free version of the Reality AI Tools software for developing AI and TinyML solutions in industrial, automotive and commercial applications.

The new Reality AI Explorer Tier provides users with free access to a comprehensive, self-guided evaluation sandbox. Qualified customers can now access the complete range of features in Reality AI Tools, including automated AI model construction, validation and deployment modules. Reality AI Explorer Tier includes a rich library of tutorials, application examples, and FAQs, access to the community forum and email support. Users can quickly get started with a simplified click-through end user agreement.

Reality AI Explorer Tier is designed to simplify the customer experience for evaluating the development environment for embedded real-time analytics. Users can explore a variety of pre-built AI applications, offering a practical way to experience the capabilities of Reality AI Tools without the need for extensive setup or support. Examples allow the user to leverage Renesas Kits such as AI Kits with sample datasets that span use cases across accelerometry/vibration analysis, audio classification, and motor control.

“As AIoT becomes increasingly important, many customers are showing keen interest and developing expertise in building AI applications at the edge and endpoint,” said Mohammed Dogar, Vice President and Head of Business Development and Ecosystem for Renesas. “Reality AI Explorer offers the opportunity to experience the full potential of a market-leading AI development environment without any up-front cost. We are confident that many customers will use this platform as a first step to creating production AIoT implementations.”

Reality AI Tools is now tightly integrated with Renesas compute products and supports all Renesas MCUs and MPUs natively with a built-in parts picker engine. Support for automatic context switching between Reality AI Tools and e2 studio is also in place.

https://www.renesas.com

 

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PAN-MaX from Panasonic simplifies Matter enablement for smart home devices

Panasonic is now offering PAN-MaX, a multi-tier Matter Certificate Service designed for device manufacturers selling in the smart home market, to simplify Matter enablement for smart home devices.
The Matter standard from the Connectivity Standards Alliance (CSA) is a major industry-led effort to address the highly fragmented market of connected smart homes. It aims to solve the challenge of interoperability, which is considered the biggest impediment for device manufacturers selling to a multi-vendor smart home customer. Matter establishes interoperability on top of familiar standard wireless communication technologies like Wi-Fi, Bluetooth Low Energy, and Thread, allowing devices from different vendors to interact and understand each other using a common language. Additionally, the notion of IoT device security comes pre-baked into the standard itself, fundamentally addressing the problem of unauthentic fake product copies that currently plagues the industry. This is why big and small players alike in the smart home industry see the Matter technology as the bedrock for the consolidation of the smart home market.
In the above context, Panasonic Industry offers Matter enablement through its portfolio of wireless modules to provide the necessary wireless interfaces (BLE, Thread, and Wi-Fi) mandated by the Matter standard on PCB, as well as PAN-MaX, a digital trust solution for Matter products aimed at simplifying the production-related challenges faced by smart home device manufacturers.
PAN-MaX closes the loop for device manufacturers by providing all the necessary capabilities required for making a Matter product. Device manufacturers can achieve hassle-free Matter deployment with manufacturer-specific versions of Panasonic wireless modules. In doing so, Panasonic takes charge of implementing the digital trust solution, injecting Device Attestation Certificates (DACs) issued from a Panasonic managed PKI infrastructure into compatible Panasonic wireless modules, which are signed against a root certificate issued to a CSA-approved Product Attestation Authority. Device manufacturers can further leverage Panasonic’s European production facilities by pre-programming business logic and other customer/product-specific information during wireless module production in Panasonic’s factory.
Acknowledging that one size doesn’t fit all, the PAN-MaX service can be tailored to suit individual customer and project requirements. Available with different service level tiers: Silver, Gold, or Diamond, device manufacturers can choose from multiple price points, underlining Panasonic’s effort to promote Matter and make it accessible to customers of all project types and volumes. Panasonic simplifies an otherwise complicated multi-vendor setup, such that device manufacturers or their EMS partners don’t have to plan for additional production-related investments for a Matter project, and avoid all risks of escalating hidden costs.

https://industry.panasonic.eu/pan-max

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Mouser now stocking ST biosensor for smart devices and wearables

The ST1VAFE6AX provides design engineers with next generation biopotential signal detection and motion tracking for a variety of applications, including heart rate, pulse monitoring, electrocardiogram (ECG) and activity tracking for wearables and portable medical devices.

The ST1VAFE6AX features a vertical analogue front end (vAFE) channel to detect biopotential signals and includes a 6-axis inertial measurement unit (IMU) for motion tracking. This biosensor embeds advanced dedicated features and data processing for motion processing like the finite state machine (FSM), sensor fusion low power (SFLP), adaptive self-configuration (ASC), and machine learning core (MLC) with exportable artificial intelligence (AI) features and filters. The device fully synchronises biopotential and motion sensing for context-aware analysis. The ST1VAFE6AX biosensor’s compact 2.5 × 3.0 × 0.71 mm footprint makes it ideal for space-constrained applications. Application development with ST1VAFE6AX biosensor is supported by the STEVAL-MKI242A adapter board.

The STEVAL-MKI242A adapter can also be used with the STMicroelectronics STEVAL-MKI109V3 motherboard, the STEVAL-MKBOXPRO programmable wireless box kit, or the X-NUCLEO-IKS4A1 motion MEMS and environmental sensor expansion board.

https://eu.mouser.com

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Microchip expands portfolio to include multi-core 64-Bit microprocessors

Microchip is expanding its computing range to meet the rising demands of today’s embedded designs. Making Microchip a single-vendor solution provider for MPUs, the PIC64 family will be designed to support a broad range of markets that require both real-time and application class processing. PIC64GX MPUs, the first of the new product line to be released, enable intelligent edge designs for the industrial, automotive, communications, IoT, aerospace and defence segments.

The intelligent edge often requires 64-bit heterogenous compute solutions with asymmetric processing to run Linux, real-time operating systems and bare metal in a single processor cluster with secure boot capabilities. Microchip’s PIC64GX family manages mid-range intelligent edge compute requirements using a 64-bit RISC-V quad-core processor with Asymmetric Multiprocessing (AMP) and deterministic latencies. The PIC64GX MPU is the first RISC-V multi-core solution that is AMP capable for mixed-criticality systems. It is designed with a quad-core, Linux-capable Central Processing Unit (CPU) cluster, fifth microcontroller class monitor and 2 MB flexible L2 Cache running at 625 MHz.

The PIC64GX family boasts pin-compatibility with Microchip’s PolarFire SoC FPGA devices, offering a large amount of flexibility in the development of embedded solutions. Additionally, the 64-bit portfolio will leverage Microchip’s ecosystem of tools and supporting software, including a host of powerful processes to help configure, develop, debug and qualify embedded designs.

https://www.microchip.com

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