Intel offers a set of 34 open source AI reference kits that help developers and data scientists implement Artificial Intelligence (AI) faster and easier.  Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments.  (Credit: Intel Corporation)

Intel accelerates AI development with reference kits


Intel offers a set of 34 open source AI reference kits that help developers and data scientists implement Artificial Intelligence (AI) faster and easier.  Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments.  (Credit: Intel Corporation)

Intel offers a set of 34 open source AI reference kits that help developers and data scientists implement Artificial Intelligence (AI) faster and easier. Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments. (Credit: Intel Corporation)





AI-enhanced reference kits help developers and data scientists innovate faster.

SANTA CLARA, Calif.–(BUSINESS WIRE)–
What’s new: Intel is now offering the community a set of 34 open source AI reference kits, the result of a years-long collaboration with Accenture, that enable developers and data scientists to implement artificial intelligence (AI) faster and easier. Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments.

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Intel offers a set of 34 open source AI reference kits that help developers and data scientists implement Artificial Intelligence (AI) faster and easier.  Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments.  (Credit: Intel Corporation)

Intel offers a set of 34 open source AI reference kits that help developers and data scientists implement Artificial Intelligence (AI) faster and easier. Each kit includes model code, training data, machine learning pipeline instructions, libraries, and oneAPI components to optimize AI and make it accessible to organizations across multi-architecture on-premises, cloud, and edge environments. (Credit: Intel Corporation)

Intel’s AI Reference Kits provide millions of developers and data scientists with an easy, performant, and cost-effective way to build and scale their own AI applications in health and life sciences, financial services, manufacturing, retail, and more. Intel is committed to enabling AI everywhere in the future through not only our portfolio of AI-accelerated processors and systems, but also our contributions to an open AI software ecosystem. The reference kits are built using components from Intel’s AI software portfolio and based on the open, standards-based OneAPI multi-architecture programming model.

Wei Li, Ph.D., vice president of Intel and general manager of AI and Analytics

Because matter: Based on the open, standards-based, heterogeneous oneAPI programming model and components of Intel’s end-to-end AI software portfolio, such as the Intel AI Analytics Toolkit and Intel Distribution of OpenVINO toolkit, the reference kits enable AI developers to streamline the process of introducing AI into their applications, enhancing existing intelligent solutions and accelerating implementation. The result is proven performance improvements with a shorter and more productive workflow than a traditional model development workflow.

Pre-configured kits make it easy to develop AI for solutions across industries including consumer products, energy and utilities, financial services, health and life sciences, manufacturing, retail, and telecommunications. Here is a sample of some of the benefits across industries:

  • Using the AI ​​reference kit designed to set up interactions with an enterprise conversational AI chatbot, users can experience batch mode inference up to 45% faster with oneAPI optimizations.1

  • AI reference kit designed to automate visual quality control inspections for life sciences demonstrated up to 20% faster training and 55% faster inference for vision defect detection with oneAPI optimizations.2

  • To enable developers to predict the state of utility assets and provide greater service reliability, there is an AI reference kit that provides up to 25% increase in forecast accuracy.3

AI reference kits can reduce time-to-solution from weeks to days, helping data scientists and developers train models faster and at lower cost by overcoming the limitations of proprietary environments. AI tools and enhancements powered by oneAPI maximize portability for open accelerated computing applications.

Working with Intel to build AI reference kits for the open source community has resulted in more productive AI workloads for our customers, said John Giubileo, chief executive officer of Accenture. The kits, based on oneAPI, are designed to offer developers a portable and efficient solution for AI projects, which reduces project complexity and implementation time across all industries.

What’s next: Through community feedback, along with contributions, selected kits will continue to be updated. Specific kits include visual quality inspection, enterprise conversational AI chatbot setup, asset health predictive analytics, medical imaging, document automation, AI structured data generation, and others. Download it for free by visiting the Intel web page or on GitHub.

More context: oneAPI Dev Summit for AI | an API | Intel AI Tools | Now Available: 12 New AI Reference Kits (for a total of 34!) (Intel Blog) | Now Available: 6 New AI Reference Kits (Intel Blog) | Scale AI with Six New Optimized, Domain-Specific Reference Kits (Intel Training Videos) | New AI Reference Kits Enable Developers and Data Scientists to Scale ML/DL Models (Intel Blog)

About intel

Intel (Nasdaq: INTC) is an industry leader, creating breakthrough technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continually work to advance semiconductor design and manufacturing to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and all types of computing devices, we unleash the potential of data to transform business and society for the better. For more information on Intel innovations, visit newsroom.intel.com and intel.com.

1 https://github.com/oneapi-src/customer-chatbot

2 https://github.com/oneapi-src/visual-quality-inspection

3 https://github.com/oneapi-src/predictive-asset-health-analytics

Notices and Disclaimers

Performance will vary with use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex. Results may vary. Performance results are based on tests performed on the dates indicated in the configurations and may not reflect all publicly available updates.

Intel does not monitor or audit third-party data. You should consult other sources to gauge accuracy.

Intel company. Intel, the Intel logo, and other Intel trademarks are trademarks of Intel Corporation or its affiliates. Other names and brands may be claimed as the property of others.

Lindsey Barber-Montalvo

618-499-0975

lindsey.barber@ketchum.com

Source: Intel Corporation

#Intel #accelerates #development #reference #kits
Image Source : www.intc.com

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