It was the deadliest string of shark attacks the world has ever seen. In 2011, sharks in Réunion, a beautiful island, way out in the Indian Ocean started biting people way more than ever before and with lunatic violence. The epidemic forced local surfers, politicians, and business owners into a proxy war with ocean lovers and conservationists worldwide, where long simmering tensions boiled over. Réunion: Shark Attacks in Paradise is the story of what happened on this beautiful island, and t ...
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محتوای ارائه شده توسط Intel Corporation. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Intel Corporation یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Optimizing Computer Vision with GLAIR - CitC Episode 280
Manage episode 340392919 series 1180916
محتوای ارائه شده توسط Intel Corporation. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Intel Corporation یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the GLAIR crowd detection system is optimized for the Intel OpenVINO toolkit and ONNX Runtime enabling GLAIR to achieve a significant improvement in throughput. He also highlights how their solution runs on CPUs, helping their clients avoid using costly GPUs for their computer vision workloads. Novan discusses how this performance optimization can also be applied to many other different workloads to benefit customer of all kinds. Lastly, he and Jake talk about how AI models in the future will be able to solve any type of problem. Novan feels that as AI is democratized, it will become more ubiquitous throughout our lives and continue to drive transformation throughout the world. For more information, visit: https://glair.ai/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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296 قسمت
Manage episode 340392919 series 1180916
محتوای ارائه شده توسط Intel Corporation. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Intel Corporation یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the GLAIR crowd detection system is optimized for the Intel OpenVINO toolkit and ONNX Runtime enabling GLAIR to achieve a significant improvement in throughput. He also highlights how their solution runs on CPUs, helping their clients avoid using costly GPUs for their computer vision workloads. Novan discusses how this performance optimization can also be applied to many other different workloads to benefit customer of all kinds. Lastly, he and Jake talk about how AI models in the future will be able to solve any type of problem. Novan feels that as AI is democratized, it will become more ubiquitous throughout our lives and continue to drive transformation throughout the world. For more information, visit: https://glair.ai/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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296 قسمت
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