Researchers at TU Wien have investigated how an artificial intelligence categorizes images. The results show astonishing similarities to visual systems in nature.Researchers at TU Wien have investigated how an artificial intelligence categorizes images. The results show astonishing similarities to visual systems in nature.Machine learning & AI[#item_full_content]

Using computer-assisted neural networks, researchers at the Karlsruhe Institute of Technology (KIT) and the University of Duisburg-Essen have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games.Using computer-assisted neural networks, researchers at the Karlsruhe Institute of Technology (KIT) and the University of Duisburg-Essen have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games.Machine learning & AI[#item_full_content]

In a new paper, researchers from Carnegie Mellon University and Stevens Institute of Technology show a new way of thinking about the fair impacts of AI decisions.In a new paper, researchers from Carnegie Mellon University and Stevens Institute of Technology show a new way of thinking about the fair impacts of AI decisions.Computer Sciences[#item_full_content]

With the rapid advancement of artificial intelligence, unmanned systems such as autonomous driving and embodied intelligence are continuously being promoted and applied in real-world scenarios, leading to a new wave of technological revolution and industrial transformation. Visual perception, a core means of information acquisition, plays a crucial role in these intelligent systems. However, achieving efficient, precise, and robust visual perception in dynamic, diverse, and unpredictable environments remains an open challenge.With the rapid advancement of artificial intelligence, unmanned systems such as autonomous driving and embodied intelligence are continuously being promoted and applied in real-world scenarios, leading to a new wave of technological revolution and industrial transformation. Visual perception, a core means of information acquisition, plays a crucial role in these intelligent systems. However, achieving efficient, precise, and robust visual perception in dynamic, diverse, and unpredictable environments remains an open challenge.Hardware[#item_full_content]

A team of AI researchers with members from several institutions in the U.S. and KASIKORN Labs, in Thailand, has built an AI-based chatbot that allows users to chat with a potential version of their future selves.A team of AI researchers with members from several institutions in the U.S. and KASIKORN Labs, in Thailand, has built an AI-based chatbot that allows users to chat with a potential version of their future selves.Consumer & Gadgets[#item_full_content]

Fast-moving autonomous mobile robots could help to deliver goods to various locations, helping to tackle disruptions to product supply chains. Nonetheless, wheeled or legged robots alone might not be sufficient to complete deliveries both efficiently and independently.Fast-moving autonomous mobile robots could help to deliver goods to various locations, helping to tackle disruptions to product supply chains. Nonetheless, wheeled or legged robots alone might not be sufficient to complete deliveries both efficiently and independently.Robotics[#item_full_content]

Large language models behind popular generative AI platforms like ChatGPT gave different answers when asked to respond to the same reasoning test and didn’t improve when given additional context, finds a new study by researchers at University College London.Large language models behind popular generative AI platforms like ChatGPT gave different answers when asked to respond to the same reasoning test and didn’t improve when given additional context, finds a new study by researchers at University College London.Machine learning & AI[#item_full_content]

Researchers at Huazhong University of Science and Technology have achieved a significant breakthrough in emotion recognition technology, introducing a novel system that could transform the way we interact with machines and monitor mental health. The new technology, known as Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals (DGR-ERPS), leverages complex physiological signals to accurately determine human emotions.Researchers at Huazhong University of Science and Technology have achieved a significant breakthrough in emotion recognition technology, introducing a novel system that could transform the way we interact with machines and monitor mental health. The new technology, known as Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals (DGR-ERPS), leverages complex physiological signals to accurately determine human emotions.Machine learning & AI[#item_full_content]

A team of researchers based at the University of Waterloo have created a new tool—nicknamed “RAGE”—that reveals where large language models (LLMs) like ChatGPT are getting their information and whether that information can be trusted.A team of researchers based at the University of Waterloo have created a new tool—nicknamed “RAGE”—that reveals where large language models (LLMs) like ChatGPT are getting their information and whether that information can be trusted.Software[#item_full_content]

Researchers at the University of Jyväskylä, Finland, have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology.Researchers at the University of Jyväskylä, Finland, have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology.Computer Sciences[#item_full_content]