NFL taps data science community to help track head impacts


The task for Matsuda and the rest of the data scientists who took part was to use AI to create models that would detect helmet impacts from NFL game footage and identify the specific players involved in those impacts. — AFP

The NFL is continuing to crowdsource new ways to track head and helmet impacts during games from data scientists and for the second straight year the winner of its artificial intelligence competition comes from outside the United States.

The NFL and Amazon Web Services awarded US$100,000 (RM418,400) in prizes for this year’s competition with the top prize of US$50,000 (RM209,200) going to Kippei Matsuda from Osaka, Japan, the league announced Friday.

Unlock 30% Savings on Ad-Free Access Now!

Monthly Plan

RM13.90/month
RM9.73 only

Billed as RM9.73 for the 1st month then RM13.90 thereafters.

Annual Plan

RM12.33/month
RM8.63/month

Billed as RM103.60 for the 1st year then RM148 thereafters.

1 month

Free Trial

For new subscribers only


Cancel anytime. No ads. Auto-renewal. Unlimited access to the web and app. Personalised features. Members rewards.

Follow us on our official WhatsApp channel for breaking news alerts and key updates!
Data , head impacts , NFL

Others Also Read


Want to listen to full audio?

Unlock unlimited access to enjoy personalise features on the TheStar.com.my

Already a member? Log In