Upsampling method sharpens AI vision with up to 16 times less GPU memory
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial intelligence (AI), is widely used in daily life. A joint research team from KAIST and international institutions has developed a technology that allows AI to see the world more clearly with minimal memory, increasing GPU (Graphics Processing Unit) memory efficiency by up to 16 times. The achievement is seen as a core technology that could accelerate the era of humanoid robots and on-device AI.
Step by mechanical step, dozens of humanoid robots took to the streets of Beijing early Saturday, joining thousands of their flesh-and-blood counterparts in a world-first half marathon showcasing China's drive to lead the global race in cutting-edge technology.
While China's men's soccer team hasn't generated much excitement in recent years, humanoid robot teams have won over fans in Beijing based more on the AI technology involved than any athletic prowess shown.
Over the past four years, a research team at the Artificial and Mechanical Intelligence (AMI) lab at the Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) in Genova (Italy) has developed advanced avatar technologies, known as the iCub3 system, in continuous testing with real-world scenarios.