Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection removal techniques have made progress, they frequently struggle with complex reflection patterns and varying lighting conditions, leaving residual artifacts that diminish image quality.Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection removal techniques have made progress, they frequently struggle with complex reflection patterns and varying lighting conditions, leaving residual artifacts that diminish image quality.Computer Sciences[#item_full_content]

Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific actions. A research team led by Jae-Pil Heo, Professor in the Department of Software at Sungkyunkwan University, has developed an AI technology that can accurately recognize new actions from only a small number of example videos. The research team focused on few-shot action recognition, which enables AI to learn and distinguish the characteristics of new actions from only a few examples.Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific actions. A research team led by Jae-Pil Heo, Professor in the Department of Software at Sungkyunkwan University, has developed an AI technology that can accurately recognize new actions from only a small number of example videos. The research team focused on few-shot action recognition, which enables AI to learn and distinguish the characteristics of new actions from only a few examples.Software[#item_full_content]

OpenAI’s GPT models can often be fooled into declaring that “pseudo-literary” nonsense is great, a German researcher has found.OpenAI’s GPT models can often be fooled into declaring that “pseudo-literary” nonsense is great, a German researcher has found.Machine learning & AI[#item_full_content]

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Robotics[#item_full_content]