Artificial Intelligence is used to create the first infinite video on the Internet

This is a review of some artificial intelligence news that happened throughout the week.

Billie Eilish’s song “Bad Guy” has been combined with thousands of covers to the same beat creating combinations in real time. YouTube has launched the intercative playback platform celebrating the 1 billion views of the song describing it as the world’s first infinite music video. Combining versions created around the world of the same song, in different languages ​​and genres, building an Artificial Intelligence experiment. Each reproduction is unique and to see them all would take at least 1.46x10 ^ 100 years, longer than the life of the universe.

Artificial Intelligence predicts 96% of COVID-19 cases requiring intensive care

With the use of a new Machine Learning algorithm, it has been possible to detect who is most at risk, helping to discover early who is required to intervene and save lives. Normally, patients with chest scans were only studied to predict severity, looking for lung abnormalities and COVID-19 in 90% of cases. But the current algorithm combines chest scans and data such as demographic information, vital signs, and blood tests. This has been tested with 295 patients, successfully predicting 96% of the cases that required more attention.

33% of people have shared deepfakes on social media without knowing it

A study carried out in Singapore on 1231 people has revealed that 54% were aware of what deepfakes were, of which 1 in 3 admitted to having shared content on networks that they later realized were false. It also revealed that more than 20% regularly meet DeepFakes online. This study arose from the growing creation of Deepfake videos found on social networks. Tech company Sensity estimates that deepfake videos identified online have doubled to 49,081.

Artificial intelligence embedded in drones to find people lost in forests

By combining thermographic cameras and artificial intelligence, the search and rescue of people lost in the forest has been improved. With the application of a deep learning network it has been possible to determine the area where someone is likely to be. This is by differentiating the body temperature of people on the ground from their surroundings. In some cases, due to the temperature of the sun and the vegetation that covers the area, it is more difficult to achieve detection due to the temperature of the environment similar to that of humans.

Thanks for reading, I hope you have informed yourself of something new. See you in the next edition.