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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.

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Sneaker fit startup Neatsy.ai gets $1M seed after B2B pivot

TechCrunch

startup, which was founded back in March 2019 by Artem Semyanov (the former head of the machine learning team at Prism Labs ), is now fully focused on selling its fit-tech to e-tailers via an SDK. Neatsy wants to reduce sneaker returns with 3D foot scans. Turns out that Pronation is the main factor in injuries in running sports.

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Emperia is helping brands like Bloomingdales build shopping experiences in VR

TechCrunch

With Emperia, brands can put on live events with hosts that walk them through a virtual space, or customize exhibits and displays with 3D models and images of real-world inventory. The startup’s experimenting with machine learning as well, focusing on the tech’s ability to create visuals and 360-degree videos for product demos.

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Upp wants to add more broccoli to the plant-protein mix using big automation

TechCrunch

So we’ve been cooperating with the University of Lincoln’s agri products team who’ve been developing the machine learning and AI,” he explains. “They’ve using a depth-sensing camera with the 3D piece in it to determine the size of that head. .”

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SportTech Startups

Apiumhub

There is an increasing popularity of sport and the acknowledgment of its perks is being capitalized on by many different sports ecosystems all over the world. The ambition is clear: to expand sporting tech and innovation to make the sports ecosystem strong. Veo It is the ultimate camera for team sports.

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Top 10 AR Trends That Will Shape The Future Of Augmented Reality

Openxcell

It may have started out as a way to bring virtual objects into the real world, but it has evolved into a valuable tool for a variety of industries over the past few years. Various industries use Augmented Reality to solve business challenges, including retail, business, gaming, healthcare, and even the military. billion by 2028.

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7 Best Practices to Use While Annotating Images

Altexsoft

No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. know what the future holds for data annotation as an industry. 3D cuboids. This is a guest article by tech writer Melanie Johnson. Semantic segmentation.

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