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dotmoovs: Sports for everyone - Apps on Google Play

#artificialintelligence

Use your smartphone to record yourself for 30 seconds, our artificial intelligence-powered referee reads your movements and scores your performance. The better you move, the more you'll win. Challenge yourself, your friends or famous athletes in freestyle football or dance and earn prizes playing the sports you love.


Pushing Buttons: from the Witcher to Uncharted, these are the best (and worst) games about love

The Guardian

Welcome to Pushing Buttons, the Guardian's gaming newsletter. If you'd like to receive it in your inbox every week, just pop your email in below – and check your inbox (and spam) for the confirmation email. Welcome back to Pushing Buttons! In the spirit of carrying my perennial real-world lateness over into this newsletter, let's talk about love, even though it is now 15 February and everyone will instantly forget about romance again until this time next year. As 500 different articles will already have reminded you this week, so much of the art that we humans make is about wanting someone you can't have, having someone you don't want, missing someone you once had, or sometimes even how much we like person/people we're actually with.


Backward Feature Elimination and its Implementation

#artificialintelligence

In the previous article, we saw another feature selection technique, the Low Variance Filter. So far we've seen Missing Value Ratio and Low Variance Filter techniques, In this article, I'm going to cover one more technique use for feature selection know as Backward Feature Elimination. Note: If you are more interested in learning concepts in an Audio-Visual format, We have this entire article explained in the video below. If not, you may continue reading. Let's say we have the same problem statement where we want to predict the fitness level based on the given feature- Let's assume we don't have any missing values in the dataset.


Many of us pressed play on video games during COVID-19 crisis. Here's our best games of 2020

USATODAY - Tech Top Stories

Perhaps because many Americans were stuck at home during the global coronavirus pandemic, U.S. consumers spent more than $33.7 billion on video games in the first three quarters of 2020, according to research firm The NPD Group. That's an increase of more than 20% compared the $27.9 billion spent in the same period in 2019. Perhaps it's no surprise, NPD forecasts a 24% percent increase in holiday game spending compared to last year. Spending could be even higher except new consoles – the Microsoft Xbox Series X and S and PlayStation 5 (with Blu-ray Disc drive or disc drive-free digital version) – constantly sold out after November debuts. If you're looking for something to gift a gamer, or to treat yourself to something new to play during a "staycation," USA TODAY's Marc Saltzman, Brett Molina and Mike Snider recommend a handful of games, divided into various age groups (but be sure to read the recommended age rating before you buy).


Making the ultimate basketball robot #Robot #Sports

#artificialintelligence

Stuff Made Here on YouTube made this basketball hoop that tracks and tilts to make sure you never miss. Its fun to watch the process and trial and error! Thousands have told me that anyone can easily miss my first automatic basketball hoop by missing the hoop entirely. That is a really good point and something that I can't let stand. In this video I show you how I devoted several weeks of my life to realizing a basketball hoop that makes your shot go in even if you totally miss the hoop….



Nagoya firm Jtekt develops gnarly skateboard bearings ahead of sport's Tokyo Olympic debut

The Japan Times

Jtekt Corp., a Nagoya-based parts manufacturer affiliated with Toyota Motor Corp., has developed an upgraded version of Ninja, the brand name for its bearings used for skateboards, ahead of skateboarding making its Olympic debut at the 2020 Tokyo Games. By making use of its technological prowess in the manufacture of industrial robot bearings, the firm says it succeeded in creating skateboard bearings that can rotate at higher speeds while maintaining durability. The new type is already being tested by Kihana Ogawa, a 17-year-old skateboarder hoping to take part in the 2020 Games after representing Japan in last year's Park Skateboarding World Championships. "I hope that skateboarding will attract attention at the (2020) Olympics, so that more people will become aware of the power of bearings," said Yasuhiro Sakamoto, 47, head of the firm's development team. A bearing is a component that supports the axis of rotation in machines, including vehicles, wind turbine generators and bullet train wheels.


Better than playing reindeer games this holiday: Here are the best video games of 2018

USATODAY - Tech Top Stories

Tech columnist Marc Saltzman gives his take on the best family-friendly video games of the year. In Nintendo's "Super Smash Bros. Ultimate, you can pick your favorite fighter and play against the game's A.I. or a friend, to see who reigns supreme. This cartoon brawler is a blast. Video games make for ideal stocking stuffers for the young and young at heart -- but with so many console and computer titles to choose from, shopping for a gamer can be an overwhelming endeavor. In other words, how do you know which games are worth getting blisters over and those likely to become drink coasters?


How AI will disrupt sports entertainment networks

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Viewers are more likely to be paying attention, and the clips ultimately reach a larger audience due to highlight reel replays and social media shares. First, by tuning an algorithm to look for specific entities -- in this case sponsors' logos -- cognitive technology can find and quantify brand placements in a video. With AI technology, production teams could efficiently source relevant content to integrate past segments into the current broadcast. To beat the competition, sports networks can utilize AI technology to provide an engaging viewer experience.


Machine-Learning-Engineer.html?utm_source=twitter&utm_medium=social

@machinelearnbot

At HyperScience we bring AI to the office. Our products help enterprises and government institutions function by automating certain kinds of office work and reducing bureaucratic burden both on businesses and their customers. We take a heterogeneous approach to AI, using a blend of what are traditionally considered different fields of ML: deep learning, computer vision, and NLP among others. We believe that AI is destined to be the biggest event in the history of human labor since the Industrial Revolution, and we want to be a part of it. ML is at the core of what we do. We productize ML lab experiments into enterprise-ready AI solutions - and we're looking for continuous learners to lead these efforts. This is an opportunity to both research cutting edge ML techniques and to implement them at a fast-growth AI startup.