It doesn’t matter if you love hockey, basketball or soccer. Thanks to the internet, there’s never been a better time to be a sports fan.
But editing together so many social media clips, long-form YouTube highlights and other videos from global sporting events is no easy feat. So how are all of these craveable video packages made?
Auto-magical video solutions help. And by auto-magical, of course, we mean powered by AI.
On this episode of the AI Podcast, host Noah Kravitz spoke with Amos Berkovich, algorithm group leader at WSC Sports, maker of an AI cloud platform that enables over 200 sports organizations worldwide to generate personalized and customized sports videos automatically and in real time.
Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery With NVIDIA GPUs
It may seem intuitive that AI and deep learning can speed up workflows — including novel drug discovery, a typically yearslong and several-billion-dollar endeavor. However, there is a dearth of recent research reviewing how accelerated computing can impact the process. Professors Artem Cherkasov and Olexandr Isayev discuss how GPUs can help democratize drug discovery.
Lending a Helping Hand: Jules Anh Tuan Nguyen on Building a Neuroprosthetic
Is it possible to manipulate things with your mind? Possibly. University of Minnesota postdoctoral researcher Jules Anh Tuan Nguyen discusses allowing amputees to control their prosthetic limbs with their thoughts, using neural decoders and deep learning.
Wild Things: 3D Reconstructions of Endangered Species With NVIDIA’s Sifei Liu
Studying endangered species can be difficult, as they’re elusive, and the act of observing them can disrupt their lives. Sifei Liu, a senior research scientist at NVIDIA, discusses how scientists can avoid these pitfalls by studying AI-generated 3D representations of these endangered species.
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The post Attention, Sports Fans! WSC Sports’ Amos Berkovich on How AI Keeps the Highlights Coming appeared first on NVIDIA Blog.
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What models or workflows are people using to generate these? submitted by /u/danikcara [link] [comments]
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