“Using AWS’s broad range of technologies including machine learning (ML) and artificial intelligence (AI), the NFL and AWS will generate more new insights than ever previously possible into player injuries, game rules, equipment, rehabilitation, and recovery,” said Priya Ponnapalli, Senior Manager, Applied Science, Amazon ML Solutions Lab. “We are excited to enlist some of the most talented data scientists from around the world to help develop these solutions and meaningfully advance player safety.” “This competition is foundational in helping identify each player’s risk to injury-causing events, especially when it comes to head health,” said Jeff Miller, NFL Executive Vice President overseeing the league’s health and safety programs. This competition will advance an already robust machine learning pipeline built on AWS that is working towards being among the most advanced and sophisticated injury surveillance and mitigation programs in professional sports. The NFL will be providing data scientists with the same set of game data to build upon the current models. This challenge builds upon last season’s competition by scoring teams based on how accurately they identify players involved in a helmet impact. Those solutions are now being used by the NFL and AWS in ongoing work on the Digital Athlete. Nearly 7,800 submissions were received from data scientists around the world. Last season, the NFL hosted its first computer vision competition, providing computer scientists NFL game data and challenging them to create ways to detect on-field helmet impacts. This challenge is the next step in the NFL’s work with AWS to develop the Digital Athlete, a virtual representation of an NFL player that can be used to better predict and hopefully prevent player injury.
The contest will be open through November 2, 2021. Prize money totaling $100,000 will be awarded to data scientists with winning models.
So if you're looking for a great way to spend your hours off, and don't mind getting dirty with a little coding, be sure to hit the read link for the full rundown, and click on through for a YouTube demonstration.New computer vision models created through the challenge will accelerate the NFL’s work with AWS to better understand, and aim to reduce, injuries in the NFL.
This home automation mod has the potential to control "lights, thermostat, cameras, jukeboxes, DVRs, TiVos," and basically anything you can dictate via IP information. Once you've got your hardware in order, you'll need to get your palms on a PHP script that directs the IP traffic and forwards the appropriate information. Aside from a Wii, Wiimote, and a good bit of spare time, you'll also need the Smarthome Insteon lights w/ ControlLinc, an Aurora Multimedia WACI NX, a Linux-based PC, and if you wish, an optional AXIS PTZ IP Security Camera and Proliphix IP Thermostat.
While we've seen how to control the functions of your home with a PSP, there's just something special about flinging your Wiimote up and down to lower and raise the lighting conditions around your crib. For those of you who've just unboxed (or already snagged) a Nintendo Wii, and are more interested in casing out the innards or hacking it up, we've got yet another challenge for you and your console.