soccer


Analyze a Soccer game using Tensorflow Object Detection and OpenCV

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The API provides pre-trained object detection models that have been trained on the COCO dataset. COCO dataset is a set of 90 commonly found objects. See image below of objects that are part of COCO dataset. In this case we care about classes -- persons and soccer ball which are both part of COCO dataset. The API also has a big set of models it supports. See table below for reference. The models have a trade off between speed and accuracy. Since I was interested in real time analysis, I chose SSDLite mobilenet v2. Once we identify the players using the object detection API, to predict which team they are in we can use OpenCV which is powerful library for image processing.


Adaptive Skills Adaptive Partitions (ASAP)

Neural Information Processing Systems

We introduce the Adaptive Skills, Adaptive Partitions (ASAP) framework that (1) learns skills (i.e., temporally extended actions or options) as well as (2) where to apply them. We believe that both (1) and (2) are necessary for a truly general skill learning framework, which is a key building block needed to scale up to lifelong learning agents. The ASAP framework is also able to solve related new tasks simply by adapting where it applies its existing learned skills. We prove that ASAP converges to a local optimum under natural conditions. Finally, our experimental results, which include a RoboCup domain, demonstrate the ability of ASAP to learn where to reuse skills as well as solve multiple tasks with considerably less experience than solving each task from scratch.


Sony Envisions an AI-Fueled World, From Kitchen Bots to Games

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In 1997, Hiroaki Kitano, a research scientist at Sony, helped organize the first Robocup, a robot soccer tournament that attracted teams of robotics and artificial intelligence researchers to compete in the picturesque city of Nagoya, Japan. At the start of the first day, two teams of robots took to the pitch. As the machines twitched and surveyed their surroundings, a reporter asked Kitano when the match would begin. "I told him it started five minutes ago!" he says with a laugh. Such was the state of AI and robotics at the time.


Exclusive: Reuters Uses AI To Prototype First Ever Automated Video Reports

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AI is coming for journalism. But rather than simply being used to take jobs from writers, Reuters has now shown that it can enhance the scale and personalization of news in ways previously unimaginable. Today, it has announced a prototype for a world first: a fully automated, yet presenter-led sports news summary system. Developed in collaboration with London-based AI startup Synthesia, the new system harnesses AI in order to synthesize pre-recorded footage of a news presenter into entirely new reports. It works in a similar way to deepfake videos, although its current prototype combines with incoming data on English Premier League football matches to report on things that have actually happened.


Artificial Intelligence in retail innovation, by Amazon - Arek Skuza

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Grammarly, which predicts what a user is writing and what corrections are required DuoLingo which is using Amazon's text to speech service to generate customized language lessons Liberty Mutual, which is using Amazon conversational API Bundesliga has chosen AWS as its technology platform to deliver more in-depth insight into live broadcasts of Bundesliga soccer games and enable new personalized fan experiences. Bundesliga wants to automate processes, increase operational efficiency, and enhance fans' experience. Bundesliga also wants to process 150 000 hours of video and tag them automatically. It will help Bundesliga to search across its entire history of football footage. NFL wants to improve players' safety and uses AWS to study injuries.


20 sports tech ideas to invest in now

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The global sports tech ecosystem is awash with early-stage companies and entrepreneurs who have brought to market all manner of novel solutions and innovations. In recent years, the number of startups specialising in areas such as athletic performance and analytics, artificial intelligence (AI), big data, fantasy sports, gaming, content production and in-venue technology has proliferated, contributing to rapid growth across the sports tech sector. Already estimated to be worth US$8.9 billion, the global sports tech market is expected to triple in value in the next five years. But, as any investor worth their salt will know, not all new technologies make for attractive investment propositions. Here, with the help of Sports Loft founder Charlie Greenwood, SportsPro profiles the innovators whose products and services should be on every sports tech investor's radar.


How Machine Learning Will Lead to Better Maps

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Despite being one of the richest countries in the world, in Qatar, digital maps are lagging behind. While the country is adding new roads and constantly improving old ones in preparation for the 2022 FIFA World Cup, Qatar isn't a high priority for the companies that actually build out maps, like Google. "While visiting Qatar, we've had experiences where our Uber driver can't figure out how to get where he's going, because the map is so off," Sam Madden, a professor at MIT's Department of Electrical Engineering and Computer Science, said in a prepared statement. "If navigation apps don't have the right information, for things such as lane merging, this could be frustrating or worse." It's faster, cheaper, and way easier to obtain satellite images than it is for a tech company to drive around grabbing street-view photos.


German football league Bundesliga teams with AWS to improve fan experience – TechCrunch

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Germany's top soccer (football) league, Bundesliga, announced today it is partnering with AWS to use artificial intelligence to enhance the fan experience during games. Andreas Heyden, executive vice president for digital sports at the Deutsche Fußball Liga, the entity that runs Bundesliga, says that this could take many forms, depending on whether the fan is watching a broadcast of the game or interacting online. "We try to use technology in a way to excite a fan more, to engage a fan more, to really take the fan experience to the next level, to show relevant stats at the relevant time through broadcasting, in apps and on the web to personalize the customer experience," Heyden said. This could involve delivering personalized content. "In times like this when attention spans are shrinking, when a user opens up the app the first message should be the most relevant message in that context in that time for the specific user," he said.


Making Friends on the Fly: Advances in Ad Hoc Teamwork - Programmer Books

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It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new Two Stage Transfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.


Making Friends on the Fly: Advances in Ad Hoc Teamwork - Programmer Books

#artificialintelligence

It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new Two Stage Transfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.