Robots transporting heavy metal at a Toyota plant. Yaskawa’s robots working alongside human coworkers in factories. To advance efforts like these virtually, Rikei Corporation develops digital twin tooling to assist planning. And if that weren’t enough, diversified retail holdings company Seven & i Holdings is running digital twin simulations to enhance customer experiences. Physical AI
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A crack NVIDIA team of five machine learning experts spread across four continents won all three tasks in a hotly contested, prestigious competition to build state-of-the-art recommendation systems. The results reflect the group’s savvy applying the NVIDIA AI platform to real-world challenges for these engines of the digital economy. Recommenders serve up trillions of search Read article >
Recommender systems, the economic engines of the internet, are getting a new turbocharger: the NVIDIA Grace Hopper Superchip. Every day, recommenders serve up trillions of search results, ads, products, music and news stories to billions of people. They’re among the most important AI models of our time because they’re incredibly effective at finding in the Read article >
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The very thing that makes the internet so useful to so many people — the vast quantity of information that’s out there — can also make going online frustrating. There’s so much available that the sheer volume of choices can be overwhelming. That’s where recommender systems come in, explains NVIDIA AI Podcast host Noah Kravitz. Read article >
The post Podsplainer: What’s a Recommender System? NVIDIA’s Even Oldridge Breaks It Down appeared first on NVIDIA Blog.
At the National Retail Federation’s annual trade show, conversations tend to touch on recurring themes: “Will we be able to stock must-have products for next Christmas?,” “What incentives can I offer to loyal workers?” and “What happens to my margins if Susie Consumer purchases three of the same dresses online and returns two?” The $26 Read article >
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The final push for the hat trick came down to the wire. Five minutes before the deadline, the team submitted work in its third and hardest data science competition of the year in recommendation systems. Called RecSys, it’s a relatively new branch of computer science that’s spawned one of the most widely used applications in Read article >
The post Just What You’re Looking For: Recommender Team Suggests Winning Strategies appeared first on The Official NVIDIA Blog.
If you want to create a world-class recommendation system, follow this recipe from a global team of experts: Blend a big helping of GPU-accelerated AI with a dash of old-fashioned cleverness. The proof was in the pudding for a team from NVIDIA that won this year’s ACM RecSys Challenge. The competition is a highlight of Read article >
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NVIDIA delivers the world’s fastest AI training performance among commercially available products, according to MLPerf benchmarks released today. The A100 Tensor Core GPU demonstrated the fastest performance per accelerator on all eight MLPerf benchmarks. For overall fastest time to solution at scale, the DGX SuperPOD system, a massive cluster of DGX A100 systems connected with Read article >
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