Qualcomm is a global leader in wireless communications, high-performance computing, and semiconductor innovation. Its technologies and Snapdragon platforms provide advanced processing capabilities, secure connectivity, and AI acceleration across automotive, industrial, consumer, and IoT applications.
Red Hat delivers enterprise-grade open-source solutions that enable organizations to operate seamlessly across hybrid and multi-cloud environments. From the data center to the network edge, Red Hat provides a flexible and secure technology foundation for modern, scalable IT infrastructures.
NXP Semiconductors is a leading provider of secure connectivity and intelligent edge solutions. Its technologies are deployed across a broad range of applications, including automotive, industrial automation, the Internet of Things (IoT), mobile devices, and communications infrastructure, enabling a more connected and intelligent world.
Elektrobit is an award-winning global supplier of embedded and connected software solutions for the automotive industry. Its software technologies support more than 600 million vehicles worldwide and power billions of devices, helping manufacturers deliver next-generation mobility solutions.
BlackBerry QNX is a leading provider of commercial operating systems, hypervisors, development tools, support, and professional services designed specifically for mission-critical embedded systems. Its solutions enable customers to accelerate the development and deployment of safe, secure, and highly reliable products across a broad range of industries.
Amazon Web Services (AWS), a subsidiary of Amazon, provides a comprehensive portfolio of cloud computing services, including computing power, data storage, analytics, and content delivery capabilities. AWS enables organizations to develop, deploy, and scale sophisticated applications while benefiting from enhanced flexibility, security, reliability, and performance.
Ein KI-Modell, das im Labor zuverlässig Objekte erkennt oder Fahrbahnzustände klassifiziert, ist noch kein serienreifes Fahrzeugsystem. Erst im realen Einsatz zeigt sich, ob ein Verfahren tragfähig ist. Ein strukturierter KI-DevOps-Ansatz am Edge hilft, diese Lücke zu schließen.
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aicas, ein führender Anbieter von Embedded-Softwarelösungen und Echtzeit-Datenmanagement, gab heute die erfolgreiche Integration des NXP® eIQ® Auto Machine Learning (ML) Software Development Kits (SDK) mit der aicas EdgeSuite bekannt.
