Innovation et gestion de programmes synchronisée et collaborative pour les nouveaux programmes
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Innovation et gestion de programmes synchronisée et collaborative pour les nouveaux programmes
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Integration of mechanical, software and electronic systems technologies for vehicle systems
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Innovation produit grâce à la gestion efficace et intégrée des formulations, du packaging et des procédés de fabrication
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Le développement de nouveaux produits exploite les données pour améliorer la qualité et la rentabilité tout en réduisant les délais de mise sur le marché et les coûts.
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Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
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Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
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Integration of manufacturing process planning with design and engineering for today’s machine complexity
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Visibility, compliance and accountability for insurance and financial industries
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Innovation dans la construction navale pour réduire de façon durable le coût de développement des futures flottes
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Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
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« Innovation produit personnalisée » grâce à la digitalisation, pour répondre à la demande du marché et réduire les coûts
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Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustrySiemens Digital Industries Software AI and Machine Learning
Siemens Digital Industries Software AI and Machine Learning
In recent years, advances in hardware technology and software techniques have made it possible and practical for machine learning (ML) to provide better solutions to many real-world problems, even on embedded devices.
Nevertheless, embedded ML presents a unique set of challenges, including hardware resource requirements and performance considerations, the need for integration of specialized software technologies, and not least the learning curve – including a dependency on skill sets that are often not present in existing development teams.
Siemens Embedded's platform solutions and professional services enable our customers to get started quickly and easily with ML and allow them to focus on how ML can add value to their products, without first having to solve a bewildering and time-consuming array of complex platform-level challenges.
In recent years, advances in hardware technology and software techniques have made it possible and practical for machine learning (ML) to provide better solutions to many real-world problems, even on embedded devices.
Nevertheless, embedded ML presents a unique set of challenges, including hardware resource requirements and performance considerations, the need for integration of specialized software technologies, and not least the learning curve – including a dependency on skill sets that are often not present in existing development teams.
Siemens Embedded's platform solutions and professional services enable our customers to get started quickly and easily with ML and allow them to focus on how ML can add value to their products, without first having to solve a bewildering and time-consuming array of complex platform-level challenges.
ML solutions are typically built upon open-source framework software. The Siemens Embedded Sokol™ Machine Learning Add-on solution includes an integration of the most popular ML engine for production embedded projects, TensorFlow Lite.
Other engines and frameworks can be provided on request. The framework is integrated with the Siemens Embedded Linux platforms Sokol™ Omni OS and Sokol™ Flex OS, optimized for the hardware target, rigorously tested, commercially supported, and monitored for CVEs alongside the rest of our platform software.
Customers can be assured that the ML platform software upon which their applications are built is always robust, reliable and secure, from right out of the box.
For customers that need additional help, our team of ML integration specialists offer both professional services and long-term premium support. Examples of work undertaken include integration of sensors and processing pipelines to drive ML inference, integration of alternative ML frameworks, integration of AI accelerators or other hardware devices, and performance optimization and tuning.
Sokol™ Machine Learning Add-on also benefits from integration with our other tools and frameworks.
Customers can easily build and debug platforms and applications from within the Sourcery™ Codebench™ IDE, and visualize and analyze performance of ML solutions using Sourcery™ Analyzer, allowing complex system-level performance issues to be diagnosed.
ML solutions can be monitored and managed from the cloud using Sokol™ IoT Framework, including data acquisition, analysis of system performance, and update of ML models in the field.
Software and expertise enabling customers to get started quickly and easily with machine learning, without first having to solve a bewildering and time-consuming array of complex platform-level challenges. Along with key open-source technologies and productivity tools, security vulnerability monitoring and support, customers can move forward into machine learning with confidence.
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