Sports


PASoftware Uses Your iPhone Camera and Machine Learning To Generate High-Quality Baseball Analytics

Forbes Technology

Baseball arguably has the deepest game analytics out of any major league sport. These insights are only generated during games using expensive, specialized equipment and a team of expert baseball statisticians. It would be impossible to generate similar statistics in real-time for amateur competition or recreational play. However, one avid baseball fan has built two smartphone applications to allow recreational baseball players to generate these statistics as they practice and play. PASoftware Team (from left to right): Andrew White (CIO), Jacob Zarbosky (CTO), Will Bowen (VP), Matt Bowen (Founder & CEO).


The Drone Racing League Partners With Allianz With A Race In Nice

#artificialintelligence

The Drone Racing League partner with France's Group AB, and is kicking off this year's DRL World Championship season with a race at the Allianz Riveria Stadium in Nice, France. The drone racing has been raised from an underground hobbyist activity in parking lots across the country to an authentic eSport with celebrated events all over the world. The event will mark the first professional drone race in France. "We're incredibly excited to extend our partnership with Allianz, who has a proud history of supporting innovative sports and auto racing, and to expand the reach of pro-drone racing in collaboration with Groupe AB, the predominant racing media company in France," said Nicholas Horbaczweski, the founder of Drone Racing League. "I think that fans define what we are," concluded Horbaczewski.


Robot co-workers? 7 cool technologies changing the way we work

#artificialintelligence

Technology is poised to change the workplace. Soon you may have a robot for a co-worker or a microchip embedded under your skin that's a work ID. Some innovations are already making an impact. Virtual reality, for example, is going beyond gaming to serve as a powerful workplace training tool. One of the biggest areas where VR training can be useful is safety, according to J. P. Gownder, vice president at research firm Forrester.


Xperiel Introduces Real World Web, An AR Enabled OS For The Physical World

Forbes Technology

Brothers Alex Hertel and Phillip Hertel, who co-founded Zetawire, a mobile payment system that was sold to Google in 2010, have come out of stealth with new venture-backed startup, Xperiel, a full stack AR Cloud solution that any designer can use. Xperiel's Real World Web platform will use the entire physical world as a marker to activate anchored contextual Augmented Reality experiences. Xperiel offers a "full stack" of technologies to developers, connecting real world object recognition with the AR Cloud directly. Importantly, they have also developed a graphical programming language called Rox so that non-programmers can build experiences on the platform that work on any device. "We have turned the physical world into the AR and IoT Cloud operating system," Alex Hertel explained to me on a Skype call last week.


The way toddlers waddle can teach robot footballers how to play

New Scientist

Tottering toddlers make surprisingly good coaches for robot football players. A team trained to mimic how infants walk comprehensively beat others trained on geometric walking patterns. Children learning to walk look clumsy, but their meandering, start-stop stumbling exposes them to a wide variety of walking behaviour. Developmental psychologists from New York University wanted to investigate whether this variability aids learning or is an unhelpful side-effect, but that's hard to test because long-term observation of everyday walking behaviour …


IndyCar Adds Eye-Tracking System to Concussion Test Protocol

U.S. News

With the I-PAS system, a driver wears goggles that are connected to a computer. The tester is able to track "eyeballs, the whites of their eyes, the pupils, the iris and so on. So you can see the eye muscles contract, get bigger and smaller," Trammell said. "Think of going to the doctor, he said, 'Follow my finger back and forth, follow it into your nose, back out of your nose.' This does that, but it does it optically.



Student's idea for app that pulls up athlete profiles on demand gets nod from Tokyo organizers

The Japan Times

An student's idea for making a facial-recognition app for smartphones that can provide speedy access to the profiles of Olympic athletes who appear on TV has drawn interest from the Tokyo Olympic Organizing Committee, which hopes it can meet the changing needs of modern sports fans. The committee picked the idea proposed by Eisuke Sugitani, a 20-year-old junior at Doshisha University in Kyoto, as the best in a student idea contest for new media aimed at improving the public's experience with the quadrennial sporting event. If someone wants to know more about a particular athlete when watching the Olympics and Paralympics on TV, it will be difficult to find that person on the internet without first knowing the athlete's name. Sugitani came up with the idea for the app while thinking about how to familiarize Japanese television viewers with the thousands of foreign athletes who participate in the games. The problem must be the same for foreign fans watching Japanese athletes, he said.


[D] Horse Race Winner Prediction (89% Precision - 80% AUC average) • r/MachineLearning

@machinelearnbot

I recently came across this article about horse races prediction. I created a model to predict horse races in my country (logistic regression and lasso regularization) based on the paper "Searching for Positive Returns at the Track" (link). I'm using the same features used in that paper and got a 89% precision (80.8% area under the curve average) logit model (20 folds, stratified cross-validation). I would like to know if this can be improved! Some people mentions that domain is very "noisy" and would like to know how do you filter outliers.


Incredible footage shows a self driving racecar hurtling around the streets of Rome

Daily Mail

It's a stunning demonstration of what self driving car can (and can't) do. This incredible footage shows Devbot, an autonomous racing car being developed to star in its own AI race series, hurtling around the streets of Rome with no driver at the wheel. It goes head to head with pro-drifter Ryan Tuerck on the closed road circuit, which was later used for the Formula E Rome race - and fails to beat the human driver. Now you see it... pro-drifter Ryan Tuerck (pictured) competed against the Roborace Devbot car's AI - driving the car himself before leaving the car to it Now you see it... pro-drifter Ryan Tuerck (right) competed against the Roborace Devbot car which can also drive itself (left) The Devbot electric car used in the race can be piloted by a human or by AI. The all-electric DevBot weighs about 2,200 pounds, and boasts 550 horsepower.