Marc-Andre ter Stegen admits Barcelona have endured "ups and downs" in 2019, with the Catalan giants hoping 2020 will ship a protracted-awaited Champions League triumph. The Liga title holders came within 90 minutes of a shot at European glory final season, only to endure essentially the most dramatic of semi-closing collapses against Liverpool. That's not the first time lately that they have allowed a optimistic continental place to unravel and discover themselves unceremoniously dumped out. First Jose, now Pep! Ter Stegen is wanting to right those wrongs in the current marketing campaign, with everybody at Camp Nou pulling in the identical path as extra collective success is sought. The German goalkeeper instructed FIFA’s official website when asked for his take on the calendar year: "It was a year of many ups and downs, as usually occurs. I at all times try to be as successful as possible. We won a variety of video games however unfortunately couldn't make it to the Champions League closing. He added on the classes Barca have taken from the last 12 months: "We’re all the time attempting to improve. Last season we received the league and had numerous ambitious goals. "Unfortunately, we did not realise them within the Champions League and Copa del Rey. Conquering Europe is now considered to be a prime priority for the Blaugrana, with a star-studded squad getting ready to achieve the five-12 months mark since they final secured the Champions League crown. Pressed on whether recapturing that trophy is a predominant goal for 2020, Ter Stegen mentioned: "Yes, always, yearly. When you loved this information in addition to you wish to be given more information regarding Manchester city fc Roster i implore you to check out the web site. That’s a straightforward query to reply. "At this membership we at all times wish to win each obtainable title. Every one among them is necessary, and the Champions League, clearly, even more so.

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Today at AWS re:Invent in Las Vegas, NFL commissioner Roger Goodell joined AWS CEO Andy Jassy onstage to announce a brand new partnership to make use of machine learning to assist reduce head accidents in skilled football. "We’re excited to announce a brand new strategic partnership collectively, which goes to combine cloud computing, machine learning and knowledge science to work on transforming player well being and security," Jassy stated as we speak. NFL football is a quick and violent sport involving giant males. Injuries are part of the game, but the NFL is hoping to scale back head accidents specifically, a huge problem for the sport. A 2017 research found that a hundred and ten out of 111 deceased NFL gamers had chronic traumatic encephalopathy (CTE). The NFL has a head begin in machine studying as a result of sheer amount of information it collects on its gamers. The sport also has decades of video. That means they need to be capable to create significant simulations that can assist improve helmet design and also lead to rule adjustments that might scale back the concussion risk that's endemic in the sport. Goodell recognizes that the sport has all this data, however lacks the experience to place it to work. That’s the place the partnership is available in. "I think what’s most thrilling to me is that there are very few relationships that we become involved with where the companion and the NFL can change the sport," he stated. Jeff Miller, govt VP for Health and safety innovation for the NFL, says this partnership is a part of a broader initiative the NFL has taken over the previous few years to find methods to scale back head injuries in the game. Jeff Crandall, chairman of the NFL engineering committee, says this entails three principal pieces. The primary is understanding what happens on the field, particularly who is getting injured and why. Secondly, it involves taking that data and sharing it with the helmet trade to assist them build higher helmets. Three million helmet problem. The best way AWS helps is of course placing all this information to work with its machine learning toolset. The hope is to assist perceive, not only how head injuries happen, and to prevent them to the extent potential in a violent sport, but also design better equipment and rule changes to reduce the variety of accidents general. Putting data to work and combining it with machine learning instruments could help.

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