Automotive

New Reality AI Explorer Tier from Renesas

Wed, Jul 17, 2024

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

Wed, Jul 10, 2024

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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DigiKey debuts city digital season 4 video series focused on AI

Mon, Jul 01, 2024

DigiKey, has announced the release of Season 4 of the City Digital video series, “AI in the Smart World,” sponsored by Molex and STMicroelectronics. The new season of the three-episode series will explore different aspects of artificial intelligence (AI) integration, from infrastructure and transportation to environmental monitoring and public services.

DigiKey launched Season 4 of its City Digital video series centred on AI in smart cities.
Season 4 also highlights AI and the transformative role it plays in shaping modern cities. Today’s hardware and software innovations will power the integration of AI into tomorrow’s urban fabric, with an aim to enhance efficiency, sustainability and quality of life.
“The use cases of AI in smart cities are just starting to scratch the surface and will play a crucial role in creating smarter, more sustainable and liveable cities,” said Josh Mickolio, technology business development manager for DigiKey. “Our partnership with suppliers like Molex and STMicroelectronics provides engineers and designers with access to the newest technologies and components to build the devices and systems that will propel smart cities into the future.”

The first of three videos in the series, “The Intelligent Backbone,” examines the crucial role of AI in modernising urban infrastructure. From smart buildings equipped with AI-driven energy systems to the deployment of intelligent traffic control and the use of AI in monitoring critical infrastructure, this episode reveals how AI is becoming the backbone of efficient and sustainable urban living.

The second video, “On the Move,” will explore how AI is revolutionising the way people and goods move through their environments. Advancements in autonomous vehicles, smart traffic management systems and AI-powered public transit demonstrate how these technologies can make transportation safer, faster and more environmentally friendly.

The third and final video, “The Responsive City,” will explore AI’s role in enhancing public services and environmental monitoring. It covers AI’s potential influence on waste management, predictive maintenance of public utilities, and the ability to monitor and respond to environmental changes. The episode also highlights how AI will help in creating more responsive and adaptive urban environments.

https://www.digikey.com

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dSPACE works with AWS to drive innovation in autonomous driving with generative AI

Mon, Jul 01, 2024

dSPACE, and an Amazon Web Service (AWS) Automotive Competency Partner, is developing an advanced scenario generation solution by leveraging generative AI technologies from Amazon Web Services (AWS).

The new scenario generation feature, which dSPACE is developing with support from the AWS Generative AI Innovation Centre, will be integrated into the dSPACE portfolio for SIL/HIL testing and data-driven development. It is based on a large language model (LLM) available on Amazon Bedrock and retrieval-augmented generation (RAG) architecture, which leverages scenario data provided by dSPACE. As a result, users will be able to easily create a vast number of complex and realistic scenarios, including edge cases according to the ASAM OpenSCENARIO standard, simply by entering a textual scenario description. This allows automotive manufacturers and suppliers to simulate and validate their autonomous driving systems more comprehensively and efficiently, reducing the time and cost associated with physical prototyping and testing.

dSPACE’s collaboration with AWS and the integration of generative AI technologies into dSPACE products pave the way for more comprehensive and efficient validation pipelines, ultimately contributing to safer autonomous vehicles.

http://www.dspace.de

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