Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, have proved to perform well on various language-related and coding tasks. Some computer scientists have recently been exploring the possibility that these models could also be used by malicious users and hackers to plan cyber-attacks or access people’s personal data.Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, have proved to perform well on various language-related and coding tasks. Some computer scientists have recently been exploring the possibility that these models could also be used by malicious users and hackers to plan cyber-attacks or access people’s personal data.Security[#item_full_content]
Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.[#item_full_content]
Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotics[#item_full_content]
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Computer Sciences[#item_full_content]
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.[#item_full_content]
Researchers at the Department of Mechanical Engineering, Seoul National University, have applied the principle of interlacing to an origami-inspired structure and developed a “Foldable-and-Rollable corruGated Structure (FoRoGated-Structure)” that can be smoothly folded and rolled up for compact storage while maintaining very high strength when deployed. The study was published in the journal Science Robotics on November 26.Researchers at the Department of Mechanical Engineering, Seoul National University, have applied the principle of interlacing to an origami-inspired structure and developed a “Foldable-and-Rollable corruGated Structure (FoRoGated-Structure)” that can be smoothly folded and rolled up for compact storage while maintaining very high strength when deployed. The study was published in the journal Science Robotics on November 26.[#item_full_content]
Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund University suggests six dimensions that determine the trustworthiness of a system, regardless of whether the system is made up of individuals, institutions, conventional machines, or AI.Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund University suggests six dimensions that determine the trustworthiness of a system, regardless of whether the system is made up of individuals, institutions, conventional machines, or AI.Computer Sciences[#item_full_content]
Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund University suggests six dimensions that determine the trustworthiness of a system, regardless of whether the system is made up of individuals, institutions, conventional machines, or AI.Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund University suggests six dimensions that determine the trustworthiness of a system, regardless of whether the system is made up of individuals, institutions, conventional machines, or AI.[#item_full_content]
AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard video recordings. Using a deep-learning framework trained on a large, comprehensive multimodal dataset from professional pianists, the researchers introduce a system that accurately reconstructs muscle activation patterns without sensors.AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard video recordings. Using a deep-learning framework trained on a large, comprehensive multimodal dataset from professional pianists, the researchers introduce a system that accurately reconstructs muscle activation patterns without sensors.Computer Sciences[#item_full_content]
AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard video recordings. Using a deep-learning framework trained on a large, comprehensive multimodal dataset from professional pianists, the researchers introduce a system that accurately reconstructs muscle activation patterns without sensors.AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard video recordings. Using a deep-learning framework trained on a large, comprehensive multimodal dataset from professional pianists, the researchers introduce a system that accurately reconstructs muscle activation patterns without sensors.[#item_full_content]
