3D Machine Learning Performance Sport 
CIO
APRIL 8, 2024
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.
CIO
MAY 15, 2023
With centuries of tradition behind it, tennis as a sport has been highly resistant to change. It’s fair to say that tennis has lived up to its roots as a traditional sport,” says Mat Pemble, executive director of IT for the International Tennis Federation (ITF), the sport’s governing body.
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TechCrunch
MARCH 24, 2021
The 2015-founded fit-tech startup has developed a system for measuring cycling cadence without additional sensors — users need only affix their existing smartphone or tablet to a stationary exercise bike to get real-time feedback on their performance. Motosumo algorithms are proprietary and trained by a machine learning loop.
Apiumhub
NOVEMBER 18, 2021
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.
Altexsoft
AUGUST 3, 2021
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. Complex polygons are commonly used in the annotation of images portraying sporting activities where target objects appear in different, complex shapes. 3D cuboids.
TechCrunch
OCTOBER 5, 2021
Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. Frontrunner combines sports betting with the flexibility of the stock market.
CIO
JUNE 7, 2023
The third pillar of Bhagavathula’s cloud game plan includes the development of advanced applications not just for fans but for referees, players, teams, and coaches, all of whom rely more on data to improve their performance. Craig Powers, an analyst at IDC, sees no end in sight to that trend.
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