If you’re looking to sharpen your technical skills, get expert answers to specific questions, or dive into an entirely new area of development, this FREE webinar can help.
The Intel® Distribution of OpenVINO™ toolkit enables high-performance, deep learning deployments. We will discuss optimization best practices to maximize your deep learning metrics, including throughput, accuracy and latency.
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Passionate about democratizing technology access for everyone and working on projects with outsized impact on the world, Zoe is a Product Manager for AI and IoT working on a variety of interdisciplinary business and engineering problems. Prior to Intel, she was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers that were used for crystallography, quantum materials and bioimaging. She holds Bachelor's degrees in Applied Physics and Business. Philippines-born, she is currently based in San Francisco, California.
Anna is a Deep Learning Software Engineer at Intel. Her role is to make Intel customers happy with OpenVINO providing a technical support. Before this, she worked on other Intel software products like MediaSDK and pre-sales support of Android-based mobile devices. She graduated with my Bachelor’s in Business Informatics and Master’s in Applied Mathematics and Informatics from the Higher School of Economics, Nizhny Novgorod, Russia.
Dmitry Temnov is a Technical Consulting Engineer at Intel, enabling customers to accelerate computer vision and deep learning applications using Intel® Distribution of OpenVINO™ toolkit.