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).

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.

Dodgers' Andrew Friedman: 'If we had to assign blame at this point, it should be me who is taking that'

Los Angeles Times

The overall team performance will obviously get much better as we click on at least two of those cylinders. When we get some of our guys back in the next week, we're confident our offense is going to perform better. It's incumbent upon us, with our bullpen, to get back to what we were doing last year. We're confident we have the guys down there to perform way better than we have.

LEADING OFF: Ohtani on the Mend, a Royal Pain in KC

U.S. News

White Sox slugger Matt Davidson has already set a record for home runs in a season by a visiting player to Kauffman Stadium, socking homers No. 6 and 7 on Friday night. In four games against the Royals this season, Davidson is 8 for 15 with seven homers, including a trio on opening day. The Royals will try to slow Davidson during a doubleheader with Trevor Oaks in the pitcher's major league debut.

Local firm Stats bets big on artificial intelligence to gather sports data


Have you ever wondered how a baseball announcer can quickly call up your favorite player's batting average with two outs and runners on first and third? Chances are those numbers came from Stats, a Chicago-based sports data and technology company. Stats, which gathers data from sporting events around the world for more than 650 customers, says it has inked five deals this year worth a total of more than $70 million. The most recent deal, a $10 million agreement announced last week, extended and expanded a relationship with a global broadcast and telecommunications conglomerate. Stats plans to invest some of the money into advancing its use of artificial intelligence to capture game data, said Chief Revenue Officer Richard Henderson, who declined to name the other parties involved in the deals.

Artificial Intelligence Intern - STATS


STATS summer internship program is a 10 week, 40 hours per week paid internship. Interns work together and individually within the organization to gain valuable experience and make an impact in sports technology. Not only will STATS Interns have hands on experience in their field of study but there are awesome perks too! There will be luncheons, a major league baseball game thrown in the mix and of course STATS gear you can rock to work. At STATS, we have a world-class artificial intelligence team which has the aim to maximize the value of the enormous amount of sports data that we have at our disposal.

How to listen to live baseball games on an Amazon Echo


Now that baseball season is underway, one of the easiest ways to listen to the games is on an Amazon Echo or another Alexa device. With TuneIn Live or MLB At Bat, you can stream live broadcasts from any Major League Baseball game using voice commands. TuneIn's service costs $3 per month for Amazon Prime subscribers (or $4 per month for non-subscribers) and also includes news and live sports from other leagues. MLB's Gameday Audio service costs a one-time payment of $20 for the entire 2018 season. Audio streams are also included with an MLB TV Premium subscription, which offers live video broadcasts for out-of-market games and costs $25 per month or $116 for the season.

Prediction by the Numbers -- NOVA PBS


NARRATOR: The future unfolds before our eyes, but is it always beyond our grasp? What was once the province of the gods has now come more clearly into view, through mathematics and data. Out of some early observations about gambling, arose tools that guide our scientific understanding of the world and more, through the power of prediction. BOATSWAIN'S MATE 1 LUKE SCHAFFER (United States Coast Guard): Keep a good look out. NARRATOR: …every day mathematics and data combine to help us envision what might be. LIBERTY VITTERT (University of Glasgow): It's the best crystal ball that humankind can have. NARRATOR: Take a trip on the wings of probability, into the future. MONA CHALABI (The Guardian, United States Edition): We are thinking about luck or misfortune, but they just, basically, are a question of math, right? The Orange County Fair, held in Southern California: in theory, these crowds hold a predictive power that can have startling accuracy, but it doesn't belong to any individual, only the group. And even then, it has to be viewed through the lens of mathematics. The theory is known as the "wisdom of crowds," a phenomenon first documented about a hundred years ago. Statistician Talithia Williams is here to see if the theory checks out and to spend some time with the Fair's most beloved animal, Patches, a 14-year-old ox. TALITHIA WILLIAMS (Harvey Mudd College): It was a fair, kind of like this one, where, in 1906, Sir Francis Galton came across a contest where you had to guess the weight of an ox, like Patches, you see here behind me. NARRATOR: After the ox weight-guessing contest was over, Galton took all the entries home and analyzed them statistically. To his surprise, while none of the individual guesses were correct, the average of all the guesses was off by less than one percent. But is it still true? TALITHIA WILLIAMS: So, here's how I think we can test that today. What if we ask a random sample of people, here at the fair, if they can guess how many jellybeans they think are in the jar, and then we take those numbers and average them and see if that's actually close to the true number of jellybeans?

Bayesball: Bayesian analysis of batting average – Towards Data Science


One of the topics in data science or statistics I found interesting, but having difficulty understanding is Bayesian analysis. During the course of my General Assembly's Data Science Immersive boot camp, I have had a chance to explore Bayesian statistics, but I really think I need some review and reinforcement. This is my personal endeavour to have a better understanding of Bayesian thinking, and how it can be applied to real-life cases. For this post, I am mainly inspired by a Youtube series by Rasmus Bååth, "Introduction to Bayesian data analysis". He is really good at giving you an intuitive understanding of Bayesian analysis, not by bombarding you with all the complicated formulas, but by providing you with a thought-process of Bayesian statistics. The topic I chose for this post is baseball.

AI predict best batters in baseball


The research comes from the Duke University Medical Center. With the study, computer scientists discovered that baseball players with higher scores on computer-based vision and motor tasks went on to have better on-base percentages. In addition, these players had more walks and fewer strikeouts ('plate discipline') compared with those who did not take part in similar tests. Artificial intelligence was used to make the predictions, drawing inferences from Bayesian hierarchical latent variable models. The inference is that the baseball scouts of tomorrow who are on the look out for a consistent, conscientious hitter may find as many clues by assessing data gathered from how the player completes task in front of a computer screen as they would from watching the player exhibit his or her sporting prowess on the field.