Football


From the NFL to MIT: The Double Life of John Urschel

MIT Technology Review

As a result, Urschel has been profiled in Sports Illustrated and the Washington Post and featured on HBO's Real Sports; written columns (featuring math puzzles) for The Players' Tribune; and even appeared in a nationally broadcast television commercial last season for Bose headphones, along with J.J. Watt, the superstar defensive end of the Houston Texans. But why is a highly paid pro football player grinding through problems in the math study room? Those papers cover areas such as spectral graph theory and feature titles like "Spectral Bisection of Graphs and Connectedness"--which appeared in Linear Algebra and Its Applications in the spring of 2014, around the time the Ravens drafted him. Despite the extraordinary degree of commitment required to play football at his level, Urschel remains fully committed to pursuing math at the highest level, too, Zikatanov says.


The Double Life of John Urschel

MIT Technology Review

As a result, Urschel has been profiled in Sports Illustrated and the Washington Post and featured on HBO's Real Sports; written columns (featuring math puzzles) for The Players' Tribune; and even appeared in a nationally broadcast television commercial last season for Bose headphones, along with J.J. Watt, the superstar defensive end of the Houston Texans. But why is a highly paid pro football player grinding through problems in the math study room? Those papers cover areas such as spectral graph theory and feature titles like "Spectral Bisection of Graphs and Connectedness"--which appeared in Linear Algebra and Its Applications in the spring of 2014, around the time the Ravens drafted him. Despite the extraordinary degree of commitment required to play football at his level, Urschel remains fully committed to pursuing math at the highest level, too, Zikatanov says.


17 More Must-Know Data Science Interview Questions and Answers

@machinelearnbot

The post 21 Must-Know Data Science Interview Questions and Answers was the most viewed post of 2016, with over 250,000 page views. If we toss a fair coin 100 million times, we have the expected number of heads (mean) as 50 million, the standard deviation 10,000 (using formula 0.5 * SQRT(N)), and we can predict that 99.7% of the time the expected number of heads will be within 3 standard deviations of the mean.


The NFL just did something awesome and unexpected, really, we're not kidding

Mashable

The NFL's extremely uptight attitude toward touchdown celebrations has long been a source of both frustration and mockery for football players and fans alike. But Tuesday brought good news for those who feel NFL football should include human emotion: The league has opened up its restrictions on the cheeky celebrations that light up social media but used to bring big fines. Following conversations with dozens of players, we're making changes to our celebrations policy: https://t.co/1NLdEJjsGD But, Goodell wrote in his announcement, "Offensive demonstrations, celebrations that are prolonged and delay the game, and those directed at an opponent, will still be penalized." But loosening up the rules around touchdown celebrations is unequivocally a good thing.


A record crowd in Washington celebrates MIT's culture of innovation and discovery

MIT News

Next, President Reif introduced three "MIT stars": Lily Tsai, John Urschel, and Sangeeta Bhatia. As founder and faculty director of the MIT Governance Lab, Associate Professor Lily Tsai leads a team of political scientists developing new strategies in citizen engagement, government responsiveness, and accountability in developing regions. Professor Sangeeta Bhatia SM '93, PhD '97 creates tiny nanoparticles that will have an enormous impact on human health. Bhatia directs the Marble Center for Cancer Nanomedicine at the Koch Institute for Integrative Cancer Research and serves on the faculty of MIT's Institute for Medical Engineering and Science.


Is Artificial Intelligence the Answer to Unbiased Recruiting?

#artificialintelligence

In theory, much of the above wouldn't happen with a "machine," we still have humans building algorithms and create sorting and matching systems, and as we've discovered, humans are biased. Say an AI/machine learning model could accurately pick up on a statistical relationship between college football quarterbacks and high performance in sales roles. "?--?Aman Alexander, product management director, CEB Algorithms that power matching, screening, assessments and chatbots can be programmed to ignore gender, age, and ethnicity and eliminate much of the preliminary bias we've seen in the past. Someday soon, AI programs in HR may be rejecting applications, completing preliminary interviews of candidates and handling onboarding and offboarding processes.


Artificialintelligence for sports fans

#artificialintelligence

If you're a fantasy football fan, you'll know how much time it can take to pore over reams of statistics every week, only to have your carefully chosen team limp from their virtual field, a defeated rabble. To get an advantage over their opponents, fantasy sports players tap into many resources. With the USA's National Football League (NFL) kicking off in September, a startup called Edge Up Sports is jostling to offer fantasy footballers the upper hand by recruiting an unconventional expert coach to its team: the artificial intelligence system, IBM Watson. While Deakin University's partnership with Watson enhances students' experiences by providing essential information, Edge Up Sports is using the platform to mine player interviews, social media analysis and injury reports and then to quantify them as statistical success indicators for NFL players.


Yes you should understand backprop – Andrej Karpathy – Medium

#artificialintelligence

The students had to implement the forward and the backward pass of each layer in raw numpy. The tricky part people might not realize until they think about the backward pass is that if you are sloppy with the weight initialization or data preprocessing these non-linearities can "saturate" and entirely stop learning -- your training loss will be flat and refuse to go down. These are neurons that never turn on for any example in your entire training set, and will remain permanently dead. When you stare at what the backward pass is doing, you'll see that the gradient signal going backwards in time through all the hidden states is always being multiplied by the same matrix (the recurrence matrix Whh), interspersed with non-linearity backprop.


The Battle for Top AI Talent Only Gets Tougher From Here

WIRED

A few years ago, Peter Lee, a vice president inside Microsoft Research, said that the cost of acquiring a top AI researcher was comparable to the cost of signing a quarterback in the NFL. Chipmaker Intel just announced that it's building a lab for far-looking AI research, and company vice president Naveen Rao says Intel is prepared to pay up for the caliber of talent that now works inside Google Brain or the Facebook Artificial Intelligence Research Lab. Today's AI movement revolves around deep neural networks, complex mathematical systems that can learn tasks by analyzing vast amounts of data. Last year, it acquired Rao's chip startup, Nervana, for a reported $400 million, believing its tech can help mount this challenge.


Robohub Digest 02/17: Asilomar AI principles, robot tax, drone art and Super Bowl LI

Robohub

And in Dubai, big plans for passenger drones to carry people through the city's skies, as early as July this year, were announced. While that might sound like a good idea, the European Parliament this month already rejected a robot tax, instead, calling for new legislation to regulate the rise of robots. On a lighter note, viewers of the Super Bowl on 5 February watched a fabulous light show, thanks to Lady Gaga and a swarm of 300 'Shooting Star' Intel drones that created an airborne image of Old Glory. But it's not all about developing nifty consumer products: Discussions this month highlighted the potential for AI to manage the UK's national power grid at a time when increasing supply by renewables has to be supplemented by occasional boosts from other sources due to variable demand.