The year 2020 has been dominated by the COVID-19 pandemic and the transformations that have come with it. Whether it be the social transformations, the new working normal, and many other transformations. In this week’s AI guide, we will see how AI transformed sports in 2020. In other news, researchers from CWI have made a mathematical breakthrough to make AI algorithms a thousand times more energy efficient.
One of the major transformations that AI has bright into sports in the year 2020 is the new experience amid Covid-19 pandemic. Even though Sports had resumed after a few months after lockdown, spectators were not allowed to enter the stadium, which meant playing and watching games with empty stadiums. To make it feel less like an empty stadium for the players, HearMeCheer, a Canadian sports start-up, came up with AI-based VR application that aggregates ‘crowd noise’ from at-home fans and streams it inside the stadium during live games.
Also, IBM Watson used collated and indexed sound from the previous tennis matches to train an AI model to give crowd cheering sound to the live tennis games during the US Open, as the game was broadcasted on television. Read the full article for more such applications of AI in sports in the year 2020.
Researchers at Centrum Wiskunde and Informatica (CWI) have developed a learning algorithm for the spiking neural networks inspired by the human brain. This discovery can make AI algorithms a thousand times more energy-efficient. A new type of chip is required to efficiently spike the neural network and many companies are trying to develop prototypes for the same.
Thanks to the team of researchers at CWI, AI apps like speech and gesture recognition and ECG classification now have the potential to become a thousand times more efficient with the mathematical breakthrough.
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