The past week has been particularly eventful in the world of Artificial Intelligence, with a number of developments that deserve our attention. Let\u2019s explore the top stories from the past 24 hours that show how AI is impacting different sectors of society.<\/p>\n
Innovation Made in Brazil: Students create system to prevent accidents<\/strong><\/p>\n A piece of news that filled me with pride comes from Piau\u00ed. Students from the Moacir Madeira Campos State Full-Time Center (CETI) in Teresina have developed a system that uses AI to detect drowsiness in drivers. The project is especially relevant when we consider that, according to the Brazilian Association of Traffic Medicine, approximately 40% of accidents on federal highways are related to fatigue.<\/p>\n The system works through a camera that, using computer vision, monitors the driver's facial features. When signs of fatigue are detected, alerts are issued. The most interesting thing is that the developers are already planning to expand the functionality to identify drivers under the influence of alcohol.<\/p>\n Google speeds up: Gemini 2.0 promises to revolutionize searches<\/strong><\/p>\n Google is not far behind and has just announced Gemini 2.0, a significant update to its AI model. According to The Globe<\/a>, the new version promises to double the processing speed and add native image, video and audio generation capabilities.<\/p>\n Advances in legislation: Copyright protection<\/strong><\/p>\n Fundamental news for the Brazilian innovation ecosystem: Congress approved Bill 2,338\/2023, which regulates the use of AI in the country. According to the Poder360<\/a>, the legislation establishes clear rules for the protection of copyright and the use of data by AI systems, including the need for prior consent for the use of images and voices.<\/p>\n AI in Telecommunications: The Future of Mobile Networks<\/strong><\/p>\n 5G Americas has published a relevant study on the role of AI in cellular networks. According to the Data Center Dynamics<\/a>, the integration of AI is becoming fundamental to creating more adaptable and efficient networks, especially in the transition to 6G.<\/p>\n