Jeff McCrea, Vice President and Director of Intel's Consumer Channels Group, has certified that Waled Wageh has satisfied the requirements for Intel's Retail Certified Specialist in product knowledge. The certification demonstrates Waled Wageh's understanding of the latest Intel processor-based 2-in-1 devices, the benefits of Intel Core processors, Windows 8.1 and Android operating systems, and leadership training. The certification is valid until September 9, 2015.
La mácula ocular o mácula lútea es una de las zonas que adquieren una mayor relevancia dentro del globo ocular. Su apariencia es la de una pequeña mancha de color amarillo que se encuentra en el interior de la retina y nos permite tener la visión de los detalles y el movimiento. Esta zona del ojo es la que consigue que se puedan distinguir las caras y que se desarrolle la lectura sin inconvenientes.
Intel® Select Solutions for the Network provide a faster means to address these challenges as we transition to 5G with pre-validated, optimized building blocks to help drive scale. Hear the what, why, when and where around Intel® Select Solutions for the Network.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/smarter-manufacturing-with-intels-deep-learning-based-machine-vision-a-presentation-from-intel/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit.
As demand for smarter and more efficient manufacturing is growing, IoT technologies—including sensors, edge devices, gateways, servers and the cloud—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help to reduce labor costs, increase quality and maximize profit. The biggest hindrance to achieving these outcomes is the difficulty in extracting data from vendor-locked and proprietary systems for analytics downstream.
In this presentation, Thimmanaik covers Intel’s approach to developing open, flexible and scalable solutions, including:
• Intel’s technologies such as OpenVINO, Movidius Vision Processor Units, Edge Insights Software (EIS) and deep learning algorithms
• How Intel’s offerings come together in the industrial marketplace with partnerships forged to address the constraints of manufacturing infrastructure
• Real-world examples highlighting defect detection in textile printing (where 90% accuracy at 50 fps was achieved) and smartphone screen production (where false negatives were only 0.6%)
La mácula ocular o mácula lútea es una de las zonas que adquieren una mayor relevancia dentro del globo ocular. Su apariencia es la de una pequeña mancha de color amarillo que se encuentra en el interior de la retina y nos permite tener la visión de los detalles y el movimiento. Esta zona del ojo es la que consigue que se puedan distinguir las caras y que se desarrolle la lectura sin inconvenientes.
Intel® Select Solutions for the Network provide a faster means to address these challenges as we transition to 5G with pre-validated, optimized building blocks to help drive scale. Hear the what, why, when and where around Intel® Select Solutions for the Network.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/smarter-manufacturing-with-intels-deep-learning-based-machine-vision-a-presentation-from-intel/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit.
As demand for smarter and more efficient manufacturing is growing, IoT technologies—including sensors, edge devices, gateways, servers and the cloud—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help to reduce labor costs, increase quality and maximize profit. The biggest hindrance to achieving these outcomes is the difficulty in extracting data from vendor-locked and proprietary systems for analytics downstream.
In this presentation, Thimmanaik covers Intel’s approach to developing open, flexible and scalable solutions, including:
• Intel’s technologies such as OpenVINO, Movidius Vision Processor Units, Edge Insights Software (EIS) and deep learning algorithms
• How Intel’s offerings come together in the industrial marketplace with partnerships forged to address the constraints of manufacturing infrastructure
• Real-world examples highlighting defect detection in textile printing (where 90% accuracy at 50 fps was achieved) and smartphone screen production (where false negatives were only 0.6%)
DPDK Summit - 08 Sept 2014 - Intel - Networking Workloads on Intel ArchitectureJim St. Leger
Venky Venkatesan presents information on the Data Plane Development Kit (DPDK) including an overview, background, methodology, and future direction and developments.
Обзор современных возможностей по распараллеливанию и векторизации приложений...yaevents
В начале сентября был выпушен новый инструментарий Intel® Parallel Studio 2011. Intel® Parallel Studio 2011 включает в себя 4 компонента (Parallel Adviser, Parallel Composer, Parallel Amplifier и Parallel Inspector), которые позволяют быстро и эффективно перейти от последовательного приложения к параллельному приложению для систем с общей памятью. В релизе Intel® Parallel Composer появились новые компиляторные возможности: Intel® Cilk™ Plus, Array Notation, Guided Auto-parallelization(GAP) и другие. Вы познакомитесь на примерах с этими расширениями, а также увидите, как они применялись в разработке симулятора перемещения частиц.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/intel-video-ai-box-converging-ai-media-and-computing-in-a-compact-and-open-platform-a-presentation-from-intel/
Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit.
As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments.
In this presentation, you’ll learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Chuang also explores EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.