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Look Up Say More Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Mashable Voices Trending Now Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series Live stream select fixtures from Bundesliga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. Matt Ford is a freelance contributor to Mashable. All products featured here are independently selected by our editors and writers.

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Live stream select Bundesliga fixtures without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Temporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs. To this day, standardized evaluation protocols and rigorous comparison across TKG models are available, but the importance of simple baselines is often neglected in the evaluation, which prevents researchers from discerning actual and fictitious progress. We propose to close this gap by designing an intuitive baseline for TKG Forecasting based on predicting recurring facts. Compared to most TKG models, it requires little hyperparameter tuning and no iterative training. Further, it can help to identify failure modes in existing approaches. The empirical findings are quite unexpected: compared to 11 methods on five datasets, our baseline ranks first or third in three of them, painting a radically different picture of the predictive quality of the state of the art.

Borussia Dortmund returned to winning ways in the Bundesliga in emphatic style on Matchday 22 with a thumping 4-0 win away to fierce local rivals Schalke, but it was Erling Haaland, and his first of two goals in particular, that grabbed the headlines. BVB have slid down the table in recent weeks, winning just one of their six league outings preceding Saturday's trip to Schalke, but served a reminder to their local neighbours that they remain the Ruhr region's top dogs, scoring twice in each half to condemn the struggling Royal Blues to a 15th defeat of the season. And Haaland was instrumental in that. Schalke had fought doggedly for much of the first half, but Jadon Sancho's opener on 42 minutes had given Dortmund a deserved lead before Haaland set his seal on the game on the stroke of half-time. Standing at 6'4" and weighing 194 pounds it is usually not a fair fight for defenders, but if not all players are created made equal, neither are all goals. Seeing Sancho receive the ball on the left-hand edge of the Schalke penalty area, Haaland instantly began to peel away from his marker, Bastian Oczipka. Sancho spotted it and floated a cross towards his teammate, who hung in the air before executing a sublime sideways scissors-kick with his left foot into the net from 16 yards. "It was a nice goal," Haaland told bundesliga.com "Obviously it was a good assist from Jadon.

The use of technology and statistics in the sports industry is nothing new. In fact, for some decades now, professionals in the field have used the data generated during these activities to help athletes perform better. However, in the last several years, there was a revolution. Artificial intelligence (AI) and machine learning (ML) became part of some of the main sports and sports leagues in the world, such as soccer, Formula 1, and football. The emergence of these technologies has taken the use of statistics generated through sports to a new level in the industry because they provide an almost infinite amount of information.

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.